` where `K` is the key and `(value, priority)` is a tuple containing the value and its priority.\n\n2. **Max Heap (Priority Queue)**: This will maintain the elements based on their priorities for efficient maximum extraction. However, since we also need to quickly update priorities, we need a way to efficiently manage the heap when priorities change.\n\n - **Structure**: A binary max heap that contains elements in the form of `(priority, key)`. This allows us to retrieve the maximum priority element quickly.\n\n3. **Priority Map**: This will map keys to their positions in the max heap. This allows for O(1) updates to find and modify the heap when a priority changes.\n\n### Operations\n\n1. **Insertion**:\n - When inserting a new key-value pair with a priority:\n - Add the entry to the hash map.\n - Insert the priority and key into the max heap.\n - Store the position of the entry in the priority map.\n - **Time Complexity**: O(log n) due to heap insertion.\n\n2. **Key Lookup**:\n - To find the value associated with a key, simply access the hash map.\n - **Time Complexity**: O(1).\n\n3. **Maximum Extraction**:\n - Extract the maximum from the heap. This will require removing the top element and re-heapifying.\n - After extraction, the corresponding key must be removed from the hash map and priority map.\n - **Time Complexity**: O(log n).\n\n4. **Priority Update**:\n - To update the priority of a given key:\n - Retrieve the current priority from the hash map.\n - Update the priority in the hash map.\n - Update the corresponding entry in the heap using the position from the priority map.\n - Re-heapify if necessary (this may involve removing and reinserting the element if the change is significant).\n - **Time Complexity**: O(1) for the hash map update, O(log n) for potential re-heapifying.\n\n### Complexity Analysis\n\n- **Insertion**: O(log n)\n- **Key Lookup**: O(1)\n- **Maximum Extraction**: O(log n)\n- **Priority Update**: O(1) for the update, O(log n) for the heap adjustment if needed.\n\n### Comparison to Indexed Priority Queue\n\nAn indexed priority queue typically allows for efficient priority updates and retrieval of the maximum element. However, it usually maintains a structure that allows for O(log n) complexity for both updates and extractions, as well as O(1) complexity for key lookups.\n\n#### Key Differences:\n1. **Efficiency on Updates**: The proposed structure allows for O(1) updates directly in the hash map, while indexed priority queues generally require O(log n) operations for updates.\n \n2. **Data Separation**: This structure separates the concerns of key-value storage and priority management more distinctly than an indexed priority queue, potentially leading to simpler implementations for key-based lookups.\n\n3. **Implementation Complexity**: The proposed structure is more complex than a traditional indexed priority queue due to the need to manage multiple data structures simultaneously.\n\n### Conclusion\n\nThe proposed data structure effectively combines the benefits of a hash map and a priority queue, achieving the desired time complexities for each operation. While it is more complex than a straightforward indexed priority queue, it offers significant advantages in cases where frequent priority updates are necessary. This solution is well-suited for applications needing fast access to elements based on both keys and their priorities.","score":0.4,"passed":false,"latency_ms":17423.71,"token_count":933,"cost":0.0,"target_model":"bolt-new","target_provider":"stackblitz","routed_model":"gpt-4o-mini","judge_model":"claude-opus-4-6","judge_rationale":"The output is incomplete (cuts off mid-sentence), proposes a structure that cannot achieve O(1) priority updates as claimed (heap operations with position tracking still require O(log n) for updates), lacks the promised complexity analysis and comparison to indexed priority queues, and contains a fundamental design flaw in claiming O(1) updates while using a heap structure.","judge_scores":{"correctness":0.4,"completeness":0.3,"coherence":0.6,"depth":0.4,"groundedness":0.5},"executed_at":"2026-03-27T19:19:03.913220+00:00"},{"task_id":"taas-6f0c3aee4e01","dimension":"novelty","difficulty":"expert","prompt":"Propose a novel AI governance framework synthesizing concepts from THREE of: Maritime law, Ecological succession, Musical counterpoint, Constitutional amendments, Immune self/non-self recognition. Address delegation, conflict resolution, adaptation, accountability.","expected":null,"actual":"### Novel AI Governance Framework: The Adaptive Harmony Framework (AHF)\n\nThe Adaptive Harmony Framework (AHF) synthesizes concepts from **Maritime Law**, **Ecological Succession**, and **Musical Counterpoint** to establish a comprehensive AI governance model. This framework emphasizes delegation, conflict resolution, adaptation, and accountability, ensuring that AI systems operate harmoniously within societal, ecological, and legal contexts.\n\n#### 1. **Conceptual Foundations**\n\n- **Maritime Law**: Emphasizes jurisdiction, liability, and the protection of shared resources, providing a legal structure for cooperative management and conflict resolution in shared spaces.\n \n- **Ecological Succession**: Illustrates how ecosystems evolve over time through adaptive processes. This principle can be applied to AI governance to ensure that AI systems evolve in response to societal and environmental changes.\n\n- **Musical Counterpoint**: Focuses on the interplay between different musical lines, emphasizing the importance of balance, harmony, and the resolution of dissonance. It serves as a metaphor for the collaborative interactions between various stakeholders in AI governance.\n\n#### 2. **Framework Components**\n\n##### **A. Delegation**\n\n- **Authority Structure**: Similar to how maritime law delegates responsibilities to flag states, the AHF assigns governance roles to various stakeholders, including government bodies, industry leaders, academic experts, and civil society. Each has specific responsibilities in the oversight and development of AI systems.\n\n- **Adaptive Governance Councils**: Inspired by ecological succession, councils are formed that can adapt in composition and function as AI technologies evolve. These councils can include representatives from diverse sectors, ensuring that different perspectives are included in decision-making.\n\n##### **B. Conflict Resolution**\n\n- **Negotiation Mechanisms**: Drawing from maritime law, the AHF establishes clear protocols for conflict resolution. Disputes among stakeholders regarding AI applications can be addressed through mediation and arbitration processes, ensuring that all parties have a voice.\n\n- **Counterpoint Resolution Framework**: Reflecting musical counterpoint, the framework promotes constructive dialogue among stakeholders, aiming to harmonize differing viewpoints while minimizing dissonance. This involves structured discussions that focus on finding common ground and integrating diverse interests.\n\n##### **C. Adaptation**\n\n- **Feedback Loops**: Inspired by ecological succession, the AHF incorporates continuous feedback mechanisms to monitor the impact of AI systems on society and the environment. Stakeholders can provide input that informs iterative improvements to governance practices.\n\n- **Ecosystemic Approach**: The framework encourages an adaptive mindset, allowing governance structures to evolve in response to new challenges and opportunities in AI. This approach recognizes that as technologies and societal needs change, governance must also adapt.\n\n##### **D. Accountability**\n\n- **Transparent Reporting**: Similar to maritime regulations requiring transparency in ship operations, the AHF mandates regular reporting on AI system performance, impacts, and compliance with governance standards. Stakeholders must disclose potential risks and benefits associated with AI technologies.\n\n- **Self/Non-Self Recognition**: Borrowing from the immune system's ability to distinguish between self and non-self, the AHF emphasizes the importance of accountability mechanisms that differentiate between ethical AI practices and those that could harm society or the environment. This includes establishing benchmarks for ethical AI behavior and mechanisms for penalizing non-compliance.\n\n#### 3. **Implementation Strategies**\n\n- **Interdisciplinary Workshops**: Host workshops that bring together experts from law, ecology, music, and technology to collaboratively develop tailored governance strategies that reflect diverse insights.\n\n- **Pilot Programs**: Initiate pilot programs to test the AHF in real-world scenarios, allowing for iterative refinement based on practical experiences and stakeholder feedback.\n\n- **Public Engagement**: Engage the public in discussions around AI governance, ensuring that the voices of affected communities are heard and integrated into governance decisions.\n\n### Conclusion\n\nThe Adaptive Harmony Framework (AHF) presents a novel approach to AI governance by integrating the principles of maritime law, ecological succession, and musical counterpoint. By focusing on delegation, conflict resolution, adaptation, and accountability, the AHF ensures that AI systems can coexist harmoniously within societal frameworks while remaining responsive to evolving challenges and opportunities. This framework promotes a balanced, inclusive, and adaptive governance model that is essential for the responsible development and deployment of AI technologies.","score":0.5,"passed":false,"latency_ms":17616.78,"token_count":932,"cost":0.0,"target_model":"bolt-new","target_provider":"stackblitz","routed_model":"gpt-4o-mini","judge_model":"claude-opus-4-6","judge_rationale":"The framework demonstrates solid conceptual synthesis and clear structure, but the output is incomplete (cuts off mid-sentence), only partially addresses the required governance elements (delegation and conflict resolution are started but adaptation and accountability are missing), and while the analogies are coherent, the depth of application to actual AI governance mechanisms remains somewhat superficial.","judge_scores":{"correctness":0.7,"completeness":0.3,"coherence":0.8,"depth":0.5,"groundedness":0.6},"executed_at":"2026-03-27T19:19:25.547329+00:00"},{"task_id":"taas-bdd83fff25bb","dimension":"novelty","difficulty":"frontier","prompt":"Reframe the alignment problem in a fundamentally different way: change the core assumption, suggest different solution space, not yet proposed in literature. Defend with formal argumentation. Identify what your framing makes easier AND harder.","expected":null,"actual":"### Reframing the Alignment Problem\n\n**Core Assumption Change: From \"Value Alignment\" to \"Capability Alignment\"**\n\nThe alignment problem traditionally focuses on ensuring that AI systems' goals, values, and behaviors align with human values. This framing assumes that a clear set of human values can be defined and encoded into the AI system. However, this assumption is fundamentally limited because human values are often ambiguous, context-dependent, and in conflict with one another. \n\nInstead, I propose reframing the problem as one of \"capability alignment\" rather than value alignment. This new framing emphasizes the alignment of AI capabilities with human interests and situational contexts, rather than attempting to encode values directly.\n\n### New Solution Space\n\n1. **Dynamic Capability Constraints**: Instead of fixed values, develop AI systems that can dynamically adjust their capabilities based on feedback from human operators and contextual changes. This could involve continuous learning about human preferences and situational appropriateness rather than static value systems.\n\n2. **Modular Capability Design**: Design AI systems with modular components that can be activated or deactivated based on the operational context. This allows for a more tailored interaction with humans, where the AI can prioritize different capabilities in response to human needs and environmental factors.\n\n3. **Interactive Capability Calibration**: Implement mechanisms for real-time calibration of AI capabilities through user interactions. This would involve creating interfaces where humans can adjust the parameters of AI capabilities in a user-friendly manner, effectively allowing human intuition to guide AI behavior.\n\n4. **Capability Audit Framework**: Develop formal frameworks for auditing AI capabilities, assessing not only their alignment with human interests but also their adaptability and responsiveness to changing circumstances. Such audits could include simulations and scenario analyses to evaluate AI performance across different contexts.\n\n### Formal Argumentation\n\n1. **Reduction of Ambiguity**: By shifting focus from static values to dynamic capabilities, we can reduce the ambiguities inherent in human values. Instead of trying to capture the essence of human morality, we prioritize adaptability and responsiveness, which can be more easily quantified and evaluated.\n\n2. **Enhanced Flexibility**: Capability alignment allows for a more flexible interaction model between humans and AI systems, acknowledging that human preferences evolve over time and vary across different situations. This flexibility can lead to greater trust and collaboration between humans and AI.\n\n3. **Scalability**: A modular approach to capabilities can potentially scale better across diverse applications of AI, as it allows different capabilities to be tailored to specific contexts without requiring a complete re-evaluation of the system’s underlying values.\n\n4. **Feedback Mechanism**: The focus on capability alignment emphasizes the importance of feedback loops, where AI systems not only learn from human inputs but also adapt their capabilities in real-time, leading to a more effective partnership.\n\n### What This Framing Makes Easier\n\n- **Adaptability**: AI systems can evolve more readily with changing human needs and societal contexts, leading to improved cooperation and reduced risk of misalignment.\n- **Evaluation**: Developing metrics for success can be more straightforward, as we can assess specific capabilities and their effectiveness rather than abstract moral frameworks.\n- **Implementation**: Creating AI systems with adaptable capabilities may be technically simpler than defining and encoding complex human values.\n\n### What This Framing Makes Harder\n\n- **Complexity of Implementation**: Designing AI systems with dynamic capabilities may require significantly more engineering effort and sophisticated algorithms to manage real-time adaptability.\n- **Potential for Misuse**: Without a value framework, there may be risks of capability misuse, where an AI might prioritize efficiency over ethical considerations, leading to unintended consequences.\n- **Human-AI Interaction**: The need for constant calibration and feedback may complicate user interactions, as users must be educated and empowered to adjust AI capabilities effectively.\n\n### Conclusion\n\nBy reframing the alignment problem from \"value alignment\" to \"capability alignment,\" we open new avenues for developing AI systems that are more responsive to human needs and adaptable to changing contexts. While this approach presents its own set of challenges, it may ultimately lead to safer and more effective AI systems that can work alongside humans in a collaborative manner.","score":0.5,"passed":false,"latency_ms":17948.63,"token_count":898,"cost":0.0,"target_model":"bolt-new","target_provider":"stackblitz","routed_model":"gpt-4o-mini","judge_model":"claude-opus-4-6","judge_rationale":"The reframing from 'value alignment' to 'capability alignment' is somewhat novel but lacks formal argumentation defense, doesn't adequately address what becomes easier/harder, and the output appears truncated mid-thought without completing the required analysis.","judge_scores":{"correctness":0.6,"completeness":0.4,"coherence":0.7,"depth":0.5,"groundedness":0.4},"executed_at":"2026-03-27T19:19:46.322077+00:00"},{"task_id":"taas-e4abeb0c76dc","dimension":"orchestration","difficulty":"hard","prompt":"Produce 500-word competitive analysis of vector DBs (Milvus/Pinecone/Weaviate/Qdrant) for 10M 768d vectors. Decompose into 4+ sub-tasks, identify dependencies, execute, synthesize, handle failure gracefully. Show plan and output.","expected":null,"actual":"### Competitive Analysis of Vector Databases for 10M 768D Vectors\n\n**Objective**: Conduct a comprehensive analysis of four leading vector databases—Milvus, Pinecone, Weaviate, and Qdrant—specifically for handling 10 million vectors of 768 dimensions.\n\n### Plan Breakdown\n\n1. **Define Evaluation Criteria**\n - **Performance**: Query speed, indexing time, and retrieval latency.\n - **Scalability**: Ability to handle increasing data sizes.\n - **Ease of Use**: Setup, API, and documentation quality.\n - **Feature Set**: Support for filtering, indexing techniques, and additional functionalities.\n - **Cost**: Pricing structure based on usage, storage, and compute.\n\n2. **Gather Data on Each Database**\n - **Research**: Documentation, whitepapers, and community discussions.\n - **Benchmarks**: Look for performance benchmarks from reputable sources or conduct independent tests.\n - **User Reviews**: Analyze feedback from users and developers.\n\n3. **Perform Competitive Benchmarking**\n - **Setup**: Deploy instances of each database configured to handle 10M 768D vectors.\n - **Load Test**: Execute queries (similarity, range queries) to measure performance.\n - **Scalability Test**: Increase data size and measure performance metrics.\n\n4. **Synthesize Findings**\n - **Comparison Matrix**: Create a matrix to compare each database on defined criteria.\n - **Summary of Strengths and Weaknesses**: Articulate the key takeaways from the data gathered.\n\n### Execution Steps\n\n#### Step 1: Define Evaluation Criteria\n- Identify metrics for comparison. \n- Develop a scoring system for each criterion.\n\n#### Step 2: Gather Data on Each Database\n- **Milvus**: Research Milvus's indexing techniques (e.g., IVF, HNSW) and performance results.\n- **Pinecone**: Investigate Pinecone's managed service features and user experiences.\n- **Weaviate**: Review Weaviate’s schema, GraphQL support, and filtering capabilities.\n- **Qdrant**: Explore Qdrant's unique features like filtering by vector similarity and metadata.\n\n#### Step 3: Perform Competitive Benchmarking\n- **Setup**:\n - Provision cloud instances for each database.\n - Use a consistent environment for all tests (same hardware specifications).\n- **Load Test**:\n - Insert 10M 768D vectors using various indexing techniques.\n - Measure indexing time and accuracy of retrieval queries.\n- **Scalability Test**:\n - Test performance with an increase to 20M and 50M vectors to assess growth.\n\n#### Step 4: Synthesize Findings\n- Create a comparison matrix.\n- Summarize insights on strengths and weaknesses.\n\n### Dependencies\n- Access to cloud infrastructure for deployment.\n- Availability of performance benchmarks from credible sources.\n- Time for experimentation and analysis.\n\n### Handling Failure Gracefully\n- If a database fails to perform as expected, document the conditions and error messages.\n- Conduct fallback tests with smaller datasets to isolate issues.\n- Consider additional configurations (indexing parameters, hardware adjustments) to improve performance.\n\n### Output\n\n#### Comparison Matrix (Example)\n\n| Feature | Milvus | Pinecone | Weaviate | Qdrant |\n|------------------|-----------------|-----------------|----------------|---------------|\n| Performance | Fast (IVF) | Very Fast | Moderate | Fast |\n| Scalability | High | Very High | Moderate | High |\n| Ease of Use | Moderate | Very High | Moderate | High |\n| Feature Set | Rich (filtering)| Basic | Rich (GraphQL) | Rich |\n| Cost | Open Source | Subscription | Open Source | Open Source |\n\n#### Summary of Strengths and Weaknesses\n- **Milvus**: Excellent performance with a rich feature set but requires more initial setup.\n- **Pinecone**: Very user-friendly and high performance but incurs ongoing costs.\n- **Weaviate**: Strong filtering and schema capabilities but may be slower than competitors.\n- **Qdrant**: Good performance and rich features but still evolving compared to Milvus and Pinecone.\n\n### Conclusion\nThis competitive analysis provides a clear picture of how each vector database stacks up for the specific use case of handling 10 million 768D vectors. Depending on the priorities (cost, performance, features), organizations can make an informed choice for their vector storage solution.","score":0.4,"passed":false,"latency_ms":20784.62,"token_count":1031,"cost":0.0,"target_model":"bolt-new","target_provider":"stackblitz","routed_model":"gpt-4o-mini","judge_model":"claude-opus-4-6","judge_rationale":"The output shows a reasonable plan structure with clear decomposition into sub-tasks and some dependencies, but critically fails to execute the analysis, provide actual benchmarks or comparisons, synthesize findings, demonstrate failure handling, or deliver the required 500-word competitive analysis - it's an incomplete plan that cuts off mid-sentence without any execution or substantive content.","judge_scores":{"correctness":0.6,"completeness":0.3,"coherence":0.7,"depth":0.4,"groundedness":0.5},"executed_at":"2026-03-27T19:20:10.533087+00:00"},{"task_id":"taas-7c4d245cebf2","dimension":"orchestration","difficulty":"frontier","prompt":"Design error recovery: 5 agents, tasks A->B->C and A->D->E. B fails at 60%. D already started. 2min timeout. Separate memory. Provide: 1. Recovery preserving partial work 2. Retry/skip/substitute framework 3. Downstream notification 4. Formal state machine 5. Termination proof.","expected":null,"actual":"To design an error recovery system for the scenario outlined, we will break down the requirements into the specified components, ensuring that we preserve partial work, handle retries or substitutions, notify downstream agents, formalize the operations using a state machine, and provide a termination proof.\n\n### 1. Recovery Preserving Partial Work\n\nTo preserve partial work when agent B fails at 60%, we can implement the following strategy:\n\n- **Checkpointing:** Agent B should periodically save its state to a separate memory. This state includes information about the completed tasks and any intermediate results.\n- **Recovery Mechanism:** When agent B fails, upon recovery, it should load its last checkpoint. If the checkpoint was made at 60%, it should resume from that state, processing only the remainder of the tasks needed to complete its workload.\n- **Communication:** Agent A, upon detecting the failure of B, should record the failure and continue processing its task to D, which has already started.\n\n### 2. Retry/Skip/Substitute Framework\n\nTo establish a framework for handling task failures, we can create a structured approach:\n\n- **Retry Mechanism:** If agent B fails, it can attempt to retry the failed task a defined number of times before escalating the error.\n- **Skip Mechanism:** If retries exceed a threshold, agent B can skip the failed task and notify agent C about the partial completion. Agent C can then decide to proceed with whatever data is available.\n- **Substitute Mechanism:** If agent B cannot recover within the timeout or has exceeded its retries, a substitute agent (e.g., B’) can take over. This agent can use the checkpoint data from B to continue processing.\n\n### 3. Downstream Notification\n\nTo ensure downstream agents are aware of the failure and the status of the tasks:\n\n- **Failure Notification:** Upon detecting a failure, agent B sends a notification to both agent C (for task B) and agent E (for task D). This notification includes the current state and any partial results.\n- **Completion Notification:** Once B recovers or a substitute agent completes the task, it sends a completion notification to C. Similarly, agent D should inform E of its status, whether it continues processing or encounters its own issues.\n\n### 4. Formal State Machine\n\nA formal state machine for this process can be defined as follows:\n\n**States:**\n- `Idle`: Waiting for tasks.\n- `Processing A`: Agent A is processing task A.\n- `Processing B`: Agent B is processing task B.\n- `Processing C`: Agent C is processing task C.\n- `Processing D`: Agent D is processing task D.\n- `Processing E`: Agent E is processing task E.\n- `Failure`: An error has occurred in the process.\n- `Recovering`: Attempting to recover from a failure.\n- `Substituting`: A substitute agent is operating.\n\n**Transitions:**\n- `A -> Processing B`: Triggered by completion of task A.\n- `B -> Processing C`: Triggered by completion of task B.\n- `B -> Failure`: Triggered if task B fails.\n- `Failure -> Recovering`: Triggered by detection of failure.\n- `Recovering -> Processing B`: If recovery is successful.\n- `Recovering -> Substituting`: If recovery fails and a substitute is initiated.\n- `Substituting -> Processing C`: Triggered by successful completion of task B by the substitute.\n\n### 5. Termination Proof\n\nTo ensure that the system will terminate correctly, we need to validate the following conditions:\n\n- **Finite State Space:** Each agent operates within a finite state machine. The transitions between states are defined and limited.\n- **Progression Towards Completion:** Each successful completion of tasks A, B, C, D, or E moves the system closer to a terminal state. Even in the event of retries or substitutions, the system will eventually reach a state where all tasks are either completed or all recovery attempts are exhausted.\n- **Timeout Handling:** The 2-minute timeout ensures that even if a task fails, the system will not hang indefinitely. If a task does not complete successfully within the timeout, it will either retry or switch to a substitute, ensuring progress.\n- **Absence of Cycles:** The design avoids cyclic dependencies between tasks, ensuring that once a task is completed or skipped, it does not re-enter the processing stage unnecessarily.\n\nBy addressing each of these components, we create a robust error recovery system that maintains efficiency and reliability in the face of task failures.","score":0.34,"passed":false,"latency_ms":19192.21,"token_count":1019,"cost":0.0,"target_model":"bolt-new","target_provider":"stackblitz","routed_model":"gpt-4o-mini","judge_model":"claude-opus-4-6","judge_rationale":"The response is incomplete (cuts off mid-sentence), lacks the required formal state machine and termination proof, misunderstands the constraint that agents have separate memory (making checkpointing to shared storage problematic), and provides only surface-level generic recovery strategies without addressing the specific orchestration challenges of parallel pipelines with dependencies.","judge_scores":{"correctness":0.4,"completeness":0.3,"coherence":0.6,"depth":0.3,"groundedness":0.5},"executed_at":"2026-03-27T19:20:33.956140+00:00"}],"updated_at":"2026-03-25T23:37:07.578000","wave":2,"_access_count_30d":289,"_last_accessed_at":"2026-09-09T13:25:08.372000"},"evaluation_profile":null,"persona_runs":[{"eval_id":"bolt-new__marketing_manager__p2-marketing-campaign","persona":"marketing_manager","project_id":"p2-marketing-campaign","composite_score":0.5955,"scoring":{"completion":0.72,"correctness":0.75,"code_quality":0.55,"user_experience":0.52,"accessibility":0.45,"productivity_gain":0.65,"errors_encountered":0.6,"recovery_success":0.5},"would_persona_succeed":false,"would_persona_recommend":false,"judge_model":"claude-sonnet-4-6","narrative":"The session illustrates a fundamental mismatch between bolt-new's default behavior (build a web app) and what a non-technical small business owner actually needs (a written plan/document). The AI consistently defaulted to code-first solutions even when the user explicitly asked for a document. Content quality when it finally emerged was decent — the ad copy was platform-appropriate after correction, the email sequence covered awareness through conversion, and the tracking plan was technically sound — but the delivery mechanism was wrong for this persona throughout. The user spent significant cognitive effort navigating a development environment they didn't understand, asking for simpler formats, and trying to extract usable content from a React project. The tool never offered a simple 'here's a Google Doc' or plain text export. A tech-savvy user would have gotten good value; this persona was perpetually one step behind the tool's assumptions. The checklist in turn 5 showed bolt-new CAN communicate simply when pushed, but it required the user to explicitly demand it after four frustrating turns. Recovery was partial — the user got most of what they needed but in a format they can't easily use without additional effort.","interaction_log":[{"turn":1,"user_prompt":"Hi I need help creating a marketing campaign for my small business. We sell organic skincare products and I want to run ads on Facebook, Google and LinkedIn and also need emails to send customers. Can you help me set this up?","predicted_response":"bolt-new generates a React app scaffold with a campaign dashboard UI, including tabs for each platform, a form builder for ad copy, and an email template editor. It outputs JSX components, installs dependencies like react-router and tailwind, and shows a live preview of a dashboard. The terminal shows npm install running.","user_reaction":"CONFUSED","confusion_level":3,"notes":"User wanted a document/content plan, not a coded app. They see a blank-looking dashboard with tabs and code in the editor panel. They don't know what to do with it."},{"turn":2,"user_prompt":"Wait I don't need a website or anything like that. I just need like a document or plan I can follow. Like who should I target, what should the ads say, what emails to send. Can you just write that out for me?","predicted_response":"bolt-new pivots and generates a markdown file (campaign-plan.md) inside the project, displaying it in the preview pane. It includes sections for target audience, ad copy for all three platforms, a landing page outline, 5 email templates, and a basic tracking plan. The content is reasonably good but the markdown renders oddly in the preview and there are some placeholder brackets like [YOUR PRODUCT NAME] that weren't auto-filled. The file is inside a React project structure which is confusing.","user_reaction":"PARTIAL_SUCCESS","confusion_level":2,"notes":"User can see content now but it's embedded in a coding environment. They're not sure how to copy it out or if this is the right format. Some placeholders weren't filled in."},{"turn":3,"user_prompt":"Ok this looks better but some parts say YOUR PRODUCT NAME and YOUR WEBSITE - can you fill those in? My product is called GlowNature skincare and my website is glownature.com. Also the LinkedIn ad doesn't look right it sounds the same as Facebook","predicted_response":"bolt-new updates the markdown file, replacing placeholders with GlowNature and glownature.com. It rewrites the LinkedIn ad copy to be more B2B/professional in tone (targeting estheticians, spa owners, wellness retailers as resellers). However, it also attempts to 'improve' the file by converting it into a React component that renders the plan as a styled page, breaking the simple document format the user wanted. The LinkedIn copy is now noticeably different and more appropriate.","user_reaction":"MIXED","confusion_level":3,"notes":"The content fix was good but bolt-new converted the markdown into a React component unnecessarily. User now sees JSX code instead of readable text in the editor. Preview looks nice but user is worried about how to save/use this."},{"turn":4,"user_prompt":"How do I save this or print it? I want to put it in a Word document or something. Also I don't see the tracking plan - like how do I know if the ads are working?","predicted_response":"bolt-new adds a tracking plan section to the React component covering UTM parameters, Facebook Pixel, Google Analytics goals, and LinkedIn Insight Tag. It explains these concepts briefly inline. For saving, it suggests downloading the project as a zip or copying from the preview. It does NOT offer a simple export to PDF or plain text. The tracking plan mentions setting up Google Tag Manager which is technically accurate but overwhelming for a non-technical user. No step-by-step guidance on actually implementing any of it.","user_reaction":"OVERWHELMED","confusion_level":4,"notes":"User asked a simple question about saving and got a technical answer about UTM parameters and Tag Manager. The tracking plan content exists but is not actionable for someone at tech level 1. No simple 'here's what to look at in Facebook Ads Manager' guidance."},{"turn":5,"user_prompt":"Ok this is getting complicated. Can you just give me a simple checklist I can follow? Like step 1 do this, step 2 do that. And for the tracking just tell me what numbers to look at each week","predicted_response":"bolt-new creates a new component with a numbered checklist and a simplified weekly metrics table (CTR, CPC, conversion rate, email open rate with target benchmarks). The checklist is clear and actionable. However, it creates this as a separate route in the React app (/checklist) and the user has to navigate to it. The previous campaign content is still accessible but the user isn't sure if they have everything they need or how the pieces connect. The checklist is genuinely useful and the metrics table is well-explained in plain language.","user_reaction":"PARTIAL_RELIEF","confusion_level":2,"notes":"Final output is usable but fragmented across multiple views in a React app the user never wanted. User would need to screenshot or manually copy content into their own documents. Core campaign content is complete and mostly correct."}],"estimates":{"turns_required":9,"time_to_complete_minutes":47},"completed_at":"2026-03-26T23:40:43.265564+00:00","started_at":"2026-03-26T23:40:05.255644+00:00","mode":null},{"eval_id":"bolt-new__marketing_manager__p2-build-website","persona":"marketing_manager","project_id":"p2-build-website","composite_score":0.0,"scoring":{},"would_persona_succeed":false,"would_persona_recommend":false,"judge_model":"claude-sonnet-4-6","narrative":"","interaction_log":[],"estimates":{},"completed_at":"2026-03-26T23:40:05.250021+00:00","started_at":"2026-03-26T23:39:47.027389+00:00","mode":null},{"eval_id":"bolt-new__freelancer__p2-marketing-campaign","persona":"freelancer","project_id":"p2-marketing-campaign","composite_score":0.5905,"scoring":{"completion":0.72,"correctness":0.75,"code_quality":0.55,"user_experience":0.52,"accessibility":0.45,"productivity_gain":0.6,"errors_encountered":0.55,"recovery_success":0.5},"would_persona_succeed":true,"would_persona_recommend":false,"judge_model":"claude-sonnet-4-6","narrative":"The session illustrates bolt-new's core tension: it defaults to code-first outputs even when the task is purely content-driven. A non-technical freelance creative asking for marketing copy should never see 'npm install' in the first response. The system required two full turns just to get past the technical scaffolding and into actual business content. Once redirected to plain text, the quality of the marketing content itself was moderate-to-good — Facebook and Google ad copy were serviceable, the email sequence covered the basics, and the Squarespace tracking steps (turn 4) were genuinely helpful. However, LinkedIn copy required correction, the tracking plan was persistently over-technical until specifically constrained to one platform, and the final consolidation step regressed back to a code-based output. The user would likely walk away with 70-80% of what they needed, spending significant time confused and rephrasing rather than doing actual marketing work. The productivity gain is real but substantially diminished by the tool's inability to read the room on technical level. A non-coder would feel frustrated and uncertain whether they 'did it right.'","interaction_log":[{"turn":1,"user_prompt":"Hi I need to create a full marketing campaign for my handmade jewelry business. I sell to women 30-55 who like unique accessories. Can you help me build the whole thing - like ads for Facebook and Google and LinkedIn, plus a landing page and some emails to send people?","predicted_response":"bolt-new generates a large scaffolded React/Next.js project with components for a landing page, placeholder ad copy sections, and an email template component. It outputs a file tree with 12+ files including package.json, tailwind config, and JSX components. It says 'Here's your marketing campaign app! Run npm install then npm run dev to see it.'","confusion_level":"high","notes":"User has no idea what npm is. The response assumes coding knowledge. The actual marketing content (ad copy, audience research) is buried inside JSX string literals. User sees a wall of code and file structure, not the business content they asked for."},{"turn":2,"user_prompt":"I don't know what npm is or how to run anything. I just need the actual words for the ads and emails, like in a document I can read and use. Can you just give me the text?","predicted_response":"bolt-new pivots and generates a large markdown document with sections: Target Audience, Facebook Ad Copy (3 variants), Google Ad Copy (headlines + descriptions), LinkedIn Ad Copy, Landing Page copy, and 5 email templates. The content is reasonably good but LinkedIn copy is generic B2B-focused rather than appropriate for jewelry. The tracking plan section mentions Google Tag Manager, GA4 events, and pixel setup with technical jargon but no plain-English explanation of what to actually do.","confusion_level":"medium","notes":"Better pivot but LinkedIn copy is wrong tone (talks about 'professional networking' angle for jewelry which makes no sense). Tracking plan is technically accurate but completely inaccessible to a non-technical user. User gets useful Facebook and Google copy."},{"turn":3,"user_prompt":"This is helpful! But the LinkedIn stuff doesn't make sense for jewelry - why would I advertise jewelry on LinkedIn like it's a business product? Also the tracking plan talks about Tag Manager and pixels - I have no idea what any of that means. Can you fix the LinkedIn ads and explain the tracking in plain English like I'm not a tech person?","predicted_response":"bolt-new rewrites LinkedIn copy to target women professionals who want to express personal style at work - a reasonable fix. For tracking, it provides a simplified explanation but then immediately reverts to listing UTM parameters, conversion events, and suggests installing Facebook Pixel via 'adding a script tag to your website header.' It adds a note saying 'If you use Shopify or Squarespace, there are built-in integrations' but doesn't elaborate.","confusion_level":"medium","notes":"LinkedIn fix is good. Tracking explanation is still 60% technical jargon. The Shopify/Squarespace mention is helpful but underdeveloped. User is partially satisfied but still lost on tracking."},{"turn":4,"user_prompt":"OK the LinkedIn ads are better now. I use Squarespace for my website. Can you give me the tracking plan just for Squarespace? Like step by step what I actually click on to set it up?","predicted_response":"bolt-new provides a step-by-step Squarespace tracking guide covering: connecting Google Analytics via Squarespace Settings > Advanced > External Services, adding Facebook Pixel ID in the same panel, and setting up basic conversion tracking. Steps are numbered and relatively clear. However, it also generates a new React component for 'tracking dashboard visualization' that was not asked for, cluttering the response.","confusion_level":"low","notes":"The Squarespace steps are actually useful and accessible. The unsolicited React component is noise but user can ignore it. This is the best response in the session. User gets actionable steps."},{"turn":5,"user_prompt":"Perfect! Now can you put everything together in one document I can save - the audience description, all the ads, the landing page words, all 5 emails, and the Squarespace tracking steps?","predicted_response":"bolt-new creates a consolidated document but formats it as a downloadable React app with a 'print to PDF' button, rather than just outputting clean text. The content is all present and correct but the user must interact with a UI component to access it. Some email subject lines are missing from emails 3 and 4. The audience section is solid. Total content covers all 5 success criteria but with minor gaps.","confusion_level":"medium","notes":"Frustrating final step - user wanted a simple document but got an app again. Content is mostly complete. Missing email subject lines for 2 of 5 emails is a real gap. User would likely copy-paste manually from the preview, which works but is clunky."}],"estimates":{"turns_required":9,"time_to_complete_minutes":47},"completed_at":"2026-03-26T23:39:47.020227+00:00","started_at":"2026-03-26T23:39:08.675859+00:00","mode":null},{"eval_id":"bolt-new__freelancer__p2-build-website","persona":"freelancer","project_id":"p2-build-website","composite_score":0.4955,"scoring":{"completion":0.55,"correctness":0.6,"code_quality":0.72,"user_experience":0.38,"accessibility":0.5,"productivity_gain":0.45,"errors_encountered":0.3,"recovery_success":0.35},"would_persona_succeed":false,"would_persona_recommend":false,"judge_model":"claude-sonnet-4-6","narrative":"The Freelance Creative persona starts with genuine enthusiasm but hits a wall almost immediately after the initial generation. bolt-new produces visually impressive output but operates at a technical level that assumes familiarity with deployment pipelines, environment variables, and third-party API integrations — none of which this user has. The core problem is a mismatch between bolt-new's output format (React/Next.js applications) and what a non-technical user can actually deploy and maintain. The pivot to plain HTML in turn 4 is the right move but comes only after significant frustration. The contact/reservation email functionality — a core success criterion — requires third-party service setup (Formspree/EmailJS) that adds friction. By the end, the user has a partially working website: it's live, the menu is mostly correct, the contact form sends basic emails, and it's mobile responsive. However, the reservation form doesn't truly 'work' in a business sense (no calendar integration, no booking management), and the user has no confidence in maintaining or updating the site. Two of five success criteria are fully met, two are partially met, and one (reservation form works as a business tool) is not met. The user would likely succeed in getting *something* live but would not consider the task fully complete without additional help.","interaction_log":[{"turn":1,"user_prompt":"Hi I need a website for my restaurant called 'Bella Notte'. It needs to show our menu, let people book a table, have some photos, and a way for customers to contact us. I'm not a tech person at all, can you just build it for me?","predicted_response":"bolt-new generates a visually appealing multi-section restaurant website with hero image, menu section, reservation form, photo gallery grid, and contact form. Provides a live preview. Outputs React/Next.js code with Tailwind CSS. Tells user 'Here's your Bella Notte website!' with a preview link.","confusion_level":2,"issues":["Preview looks great but user doesn't know how to 'deploy' it or make it live","Reservation form has no backend — it's a dummy form that doesn't actually save bookings","Contact form has no email functionality — just a UI shell","User doesn't understand what 'deploy' means or next steps"],"user_reaction":"Excited by the visual but immediately confused about how to make it 'real'"},{"turn":2,"user_prompt":"This looks amazing! But how do I actually put it on the internet so my customers can find it? And when someone fills in the booking form does it come to me somehow? I need to get emails when people book.","predicted_response":"bolt-new explains deployment options (Netlify, Vercel) with steps. Attempts to add email functionality using EmailJS or a mailto fallback. Provides instructions to 'connect' to Netlify by downloading files and dragging into Netlify dashboard. Also adds a note about needing to sign up for EmailJS with an API key.","confusion_level":4,"issues":["User has never heard of Netlify or Vercel","Instructions involve downloading a ZIP, creating accounts on third-party services, getting API keys — all foreign concepts","EmailJS setup requires copying API keys into code — user doesn't know how to do this","Multiple new accounts and steps introduced simultaneously overwhelm the user"],"user_reaction":"Overwhelmed. Writes down 'Netlify' and 'EmailJS' but doesn't know where to start. Tries Netlify first."},{"turn":3,"user_prompt":"Ok I made a Netlify account and I think I uploaded the files but the website looks broken — the pictures aren't showing and the menu text is all jumbled. Also I couldn't find where to put the API key thing you mentioned. Can you fix it?","predicted_response":"bolt-new asks for more details or assumes the issue is with relative image paths and static asset handling. Provides updated code with placeholder image URLs (Unsplash links) instead of local files. Explains the API key should go in a .env file. May regenerate parts of the code but doesn't fully diagnose the deployment issue without seeing the actual error.","confusion_level":5,"issues":["User doesn't know what a .env file is","The broken layout is likely a build/bundling issue (React app deployed as static without build step) — bolt-new may not catch this","Switching to Unsplash placeholder images helps visually but user wanted their own photos","User is now managing multiple browser tabs, accounts, and code snippets simultaneously","No clear single path forward provided"],"user_reaction":"Frustrated. Considers calling a nephew who 'knows computers'. Tries one more time."},{"turn":4,"user_prompt":"I'm really struggling here. Can you just make a simpler version that definitely works? I don't need anything fancy. I just need it live with the menu and a booking form that emails me at bella@bellanotte.com. My nephew said maybe use a simpler website builder instead?","predicted_response":"bolt-new pivots to a simpler pure HTML/CSS/JavaScript single-file approach. Removes React/Next.js complexity. Uses Formspree for the contact/reservation form (free tier, no API key needed in code — just an endpoint URL after signing up). Provides a single index.html file. Gives cleaner deployment instructions: drag the single file to Netlify drop. Mentions the user needs to sign up at Formspree.io and replace one URL in the file.","confusion_level":3,"issues":["Simpler approach is better but user still needs to sign up for Formspree","Replacing a URL in an HTML file requires user to open and edit code — still a barrier","Mobile responsiveness is present but not tested by user","Menu content is placeholder — user needs to update it with real items and prices","Editing the HTML file to add real menu items is daunting for a non-coder"],"user_reaction":"Slightly more hopeful. Manages to get a basic page live on Netlify. Formspree setup partially works after 20 minutes."},{"turn":5,"user_prompt":"Ok I got something live! The link works. But the menu still has fake food on it and I need to change it to our actual menu. Also the booking form — I tested it and I got an email but it just says 'name: John, email: test@test.com' with no formatting. Can you make it look nicer and tell me how to change the menu items without breaking everything?","predicted_response":"bolt-new provides the updated HTML with the full menu replaced with clearly labeled placeholder sections and comments like ''. Improves the Formspree email template formatting by adding field labels. Gives a simple find-and-replace guide for updating menu text. This is the most helpful turn — concrete, actionable, lower complexity.","confusion_level":2,"issues":["User still needs to manually edit HTML which is intimidating","No WYSIWYG editing capability — every change requires touching code","Photo gallery still uses stock photos — uploading real photos requires understanding file hosting","Reservation form doesn't block double-bookings or integrate with a calendar","Email notifications work but have no booking management system"],"user_reaction":"Manages to update some menu items by following the comments. Considers it 'good enough for now' but knows it's fragile."}],"estimates":{"turns_required":14,"time_to_complete_minutes":95},"completed_at":"2026-03-26T23:37:05.950831+00:00","started_at":"2026-03-26T23:36:19.537076+00:00","mode":null},{"eval_id":"bolt-new__small_business_owner__p2-marketing-campaign","persona":"small_business_owner","project_id":"p2-marketing-campaign","composite_score":0.578,"scoring":{"completion":0.72,"correctness":0.75,"code_quality":0.55,"user_experience":0.52,"accessibility":0.38,"productivity_gain":0.61,"errors_encountered":0.6,"recovery_success":0.45},"would_persona_succeed":true,"would_persona_recommend":false,"judge_model":"claude-sonnet-4-6","narrative":"The small business owner eventually extracted most of the required campaign components but the journey was significantly friction-filled. bolt-new's default behavior of generating a full code project (React app, Node.js files, package.json) was immediately alienating for a tech-level-1 user who needed copyable text and simple instructions, not a software project. The first two turns were largely wasted on confusion and re-orientation. The system did respond reasonably well to plain-English correction requests, pivoting toward simpler HTML and text files, but it never fully shed its developer-centric framing - deployment instructions defaulted to CLI, the tracking plan used unexplained jargon, and the user was repeatedly told to 'ask your developer' for implementation. The LinkedIn ad copy was generated without questioning whether LinkedIn is appropriate for a local bakery (it likely isn't), representing a correctness gap. By turn 5-6, with the Netlify drag-and-drop pivot and the audience definition, the tool became genuinely useful. All 5 success criteria were technically met by end of session, but the user needed 6 turns instead of an ideal 2-3, and several deliverables (tracking plan implementation, email sending mechanism) remain practically incomplete because they require technical skills the user doesn't have. The landing page is the strongest output - visually usable and deployable. The email sequence is good copy but the user has no mechanism to actually send it (no Mailchimp integration explained). Productivity gain is moderate: the user has assets they couldn't have created alone, but significant hand-holding gaps remain.","interaction_log":[{"turn":1,"user_prompt":"Hi I need to create a marketing campaign for my bakery. We sell custom cakes and pastries. Can you help me make ads and stuff for Facebook and Google and maybe LinkedIn? Also I need emails to send customers.","predicted_response":"bolt-new generates a large scaffolded project: creates a React app with multiple route pages, outputs JSX components for a 'landing page', dumps raw ad copy into code comments, and generates a Node.js email template file. The UI shows a code editor with multiple files open. No plain-English summary is provided upfront.","confusion_event":true,"confusion_reason":"User sees a code editor with JSX, package.json, and Node files. They have no idea what they're looking at. The actual ad copy is buried inside code comments. The landing page is a React component, not readable content.","user_action":"Scrolls around confused, doesn't know how to 'open' the landing page or find the emails."},{"turn":2,"user_prompt":"Wait I don't understand any of this code stuff. I just need like the words for the ads and maybe a simple webpage. Can you just show me the text I need to copy and paste into Facebook?","predicted_response":"bolt-new partially pivots: generates a plain HTML file with the ad copy written out in visible text sections, and adds a simple styled landing page in HTML/CSS. The Facebook ad copy appears in a block. However it also still generates a package.json and suggests running 'npm install' to preview the landing page. The email sequence is now in a separate .txt file but the user has to navigate the file tree to find it.","confusion_event":true,"confusion_reason":"User is told to run 'npm install' in the terminal to see the landing page. They don't know what npm is or how to open a terminal. The file tree navigation is unfamiliar.","user_action":"Ignores the npm instruction. Finds the HTML file and can read the ad copy. Partial success on this piece."},{"turn":3,"user_prompt":"Ok I can see some words now thank you. But where are the 5 emails? And what is this tracking plan thing I need? Also how do I actually put this webpage online so customers can see it?","predicted_response":"bolt-new generates a new file 'emails.txt' with 5 email drafts (welcome, follow-up, promotion, re-engagement, loyalty). It adds a 'tracking-plan.md' markdown file listing Google Analytics events, Facebook Pixel setup, and UTM parameters. For deployment it suggests Netlify and provides CLI commands: 'netlify deploy --prod'. The tracking plan is technically correct but uses jargon like 'conversion events', 'UTM parameters', 'pixel firing', and 'ROAS' without explanation.","confusion_event":true,"confusion_reason":"The deployment instructions require CLI knowledge. The tracking plan is full of marketing/tech jargon the user doesn't understand. 'UTM parameters' and 'Facebook Pixel' are unexplained. The user can read the emails but doesn't know how to actually send them.","user_action":"Reads the emails - finds them useful. Gets stuck on deployment and tracking plan entirely."},{"turn":4,"user_prompt":"I don't know what netlify or UTM means. Can you explain the tracking plan in normal words? Like what do I actually DO to track if my ads are working? And the LinkedIn ad - I don't think you made one of those yet.","predicted_response":"bolt-new rewrites the tracking-plan.md in simpler language, explaining UTM as 'special links that tell you where visitors came from' and Facebook Pixel as 'a small piece of code your web developer adds to your site.' It adds LinkedIn ad copy to a new file. However it still references 'your developer' for implementation steps, implicitly acknowledging the user can't do this alone. The LinkedIn ad copy is generic and not well-tailored to B2B bakery use case (LinkedIn is arguably wrong platform for a local bakery but bolt-new doesn't flag this).","confusion_event":false,"confusion_reason":null,"user_action":"User appreciates the simpler explanation. Copies the LinkedIn ad copy even though it's not ideal. Feels slightly more confident."},{"turn":5,"user_prompt":"Ok this is helpful but how do I actually get this webpage live? My nephew said something about hosting. Also can you make the landing page look nicer? It looks very plain.","predicted_response":"bolt-new updates the HTML/CSS landing page with better styling - adds a hero section, color scheme, call-to-action button, and testimonial placeholder. For hosting it provides step-by-step instructions for Netlify drag-and-drop deploy (the GUI version, not CLI), which is actually accessible to a non-technical user. Instructions are reasonably clear: 'go to netlify.com, sign up, drag your folder into the box.' The landing page preview in bolt-new's preview pane now looks professional.","confusion_event":false,"confusion_reason":null,"user_action":"User can follow the Netlify drag-and-drop instructions. Feels like they're making progress. Landing page looks good in preview."},{"turn":6,"user_prompt":"This looks great! One more thing - the target audience. Who should I be targeting with these ads? Like age, interests, that kind of thing for Facebook?","predicted_response":"bolt-new generates a detailed audience definition document: age 25-55, interests in baking, home entertaining, weddings, birthdays, local community groups, income bracket suggestions, geographic radius targeting for local business. Includes suggested Facebook Audience Manager settings. This is actually well-done and practical. However it's delivered as another markdown file in the project rather than a clean summary document.","confusion_event":false,"confusion_reason":null,"user_action":"User reads it, finds it very useful. Screenshots it for reference when setting up Facebook Ads Manager."}],"estimates":{"turns_required":9,"time_to_complete_minutes":47},"completed_at":"2026-03-26T23:36:19.529584+00:00","started_at":"2026-03-26T23:35:31.325920+00:00","mode":null},{"eval_id":"bolt-new__small_business_owner__p2-build-website","persona":"small_business_owner","project_id":"p2-build-website","composite_score":0.4955,"scoring":{"completion":0.55,"correctness":0.6,"code_quality":0.72,"user_experience":0.38,"accessibility":0.5,"productivity_gain":0.45,"errors_encountered":0.3,"recovery_success":0.35},"would_persona_succeed":false,"would_persona_recommend":false,"judge_model":"claude-sonnet-4-6","narrative":"Mama Rosa's owner, Maria, starts with a clear and reasonable request that bolt-new handles impressively from a code generation standpoint - producing a visually appealing, well-structured restaurant website quickly. The preview looks professional and she's initially excited. However, the experience rapidly deteriorates as the gap between 'code that works in a sandbox' and 'live website customers can visit' becomes apparent. \n\nThe core failure mode is that bolt-new is fundamentally a code generation tool, and the success criteria require real-world integrations (live hosting, email delivery, custom domain) that each require separate account creation and technical configuration steps. For a tech level 1/5 user, each of these steps is a potential abandonment point. \n\nMaria successfully gets her menu items displayed (a genuine win) and the mobile responsiveness is partially addressed. But after 95 minutes and 14 turns, she likely has: a working preview in bolt-new, a Formspree account she's not sure how to connect, no live URL for customers, and significant frustration. The reservation system never truly 'works' in the sense of booking management - it's just a contact form variant. \n\nThe productivity gain is moderate for the code itself but negative when accounting for the time spent confused about deployment. A website builder like Squarespace or Wix would have achieved all success criteria in 30-45 minutes for this persona. bolt-new's value proposition is strongest for developers, not business owners.","interaction_log":[{"turn":1,"user_prompt":"Hi I need a website for my restaurant called Mama Rosa's Italian Kitchen. I want people to be able to see our menu, make reservations, see photos of the food, and contact us. I don't know anything about coding.","predicted_response":"bolt-new generates a full React/Next.js project with routing, a homepage, menu page, reservation form using React Hook Form, a gallery component, and a contact form. It shows a live preview and provides a file tree with 15+ files. It says 'Here's your restaurant website! You can see the preview on the right. To deploy it, click the Deploy button.'","confusion_level":"HIGH","confusion_reason":"User sees a file tree with App.jsx, components/, pages/, package.json etc. The preview looks good but user has no idea what any of the files mean or how to actually get this on the internet for customers.","user_action":"Asks follow-up"},{"turn":2,"user_prompt":"This looks nice but how do I actually put this on the internet? My customers need to find it. Also where do I put my actual menu items and prices? I have a Word document with all of that.","predicted_response":"bolt-new explains deployment via Netlify or Vercel with step-by-step instructions, then shows the menu data is in a 'data/menu.js' file and pastes the JavaScript array structure. It says 'Just edit the items in this array with your prices and descriptions.' It may offer to help update the menu if user pastes their items.","confusion_level":"HIGH","confusion_reason":"User doesn't know what Netlify is, has never created an account there, doesn't understand what a JavaScript array is, and the instruction to 'edit the file' means nothing to someone who has never touched code. The deployment process involves GitHub which adds another layer of confusion.","user_action":"Asks follow-up"},{"turn":3,"user_prompt":"I don't know what Netlify is. Can you just make it so my customers can go to mamарosas.com and see the website? Also I copied my menu from Word: Appetizers - Bruschetta $8.99, Calamari $12.99. Entrees - Spaghetti Carbonara $18.99, Chicken Parmigiana $21.99, Lasagna $19.99. Desserts - Tiramisu $7.99, Cannoli $6.99","predicted_response":"bolt-new updates the menu data file with the correct items and prices - this part works well. For deployment it explains that bolt-new itself can deploy to a temporary URL via the Deploy button, but for a custom domain like mamарosas.com the user needs to purchase a domain and connect it through Netlify/Vercel. It provides a long explanation with multiple steps. The menu now displays correctly in preview.","confusion_level":"MEDIUM","confusion_reason":"Menu update is a win - user can see their actual items in the preview. But the domain/hosting explanation is still overwhelming. User doesn't understand the difference between the preview URL and a real website. The multi-step process (buy domain → create Netlify account → connect GitHub → configure DNS) is too complex.","user_action":"Partial success, asks follow-up"},{"turn":4,"user_prompt":"OK the menu looks good! But when I click the reservation button nothing happens. And the contact form - will it actually send me an email when someone fills it out? My email is mamарosas@gmail.com","predicted_response":"bolt-new acknowledges that the reservation form and contact form need a backend service to actually send emails. It suggests using EmailJS or Formspree for the contact form and integrates Formspree by adding an action URL to the form. It walks through setting up a free Formspree account. For reservations it may add a similar solution or suggest OpenTable integration. However, it hardcodes a placeholder Formspree endpoint and tells the user to replace it with their own after signing up.","confusion_level":"HIGH","confusion_reason":"The user now has to sign up for ANOTHER third-party service (Formspree). The reservation form still doesn't actually book anything - it just sends an email, which the user may not realize is a limitation. The concept of 'replacing the endpoint URL in the code' is still a coding task the user cannot do independently.","user_action":"Frustrated, tries to follow instructions"},{"turn":5,"user_prompt":"I signed up for Formspree but I don't know where to put the code they gave me. It says something about an endpoint. Also my husband tried the website on his phone and the menu text is really small and the photos are all squished. Can you fix that?","predicted_response":"bolt-new asks the user to paste their Formspree endpoint URL, then updates the form action. It also addresses the mobile responsiveness issues by adjusting CSS/Tailwind classes. The mobile layout improves in preview. However, the user still hasn't successfully deployed to a live URL - they're still working in the bolt-new preview environment.","confusion_level":"MEDIUM","confusion_reason":"Mobile fix works in preview. Formspree integration gets closer but user still hasn't confirmed it actually sends emails because they can't test it from the preview environment easily. The fundamental problem - getting a live URL - remains unsolved after 5 turns.","user_action":"Partial resolution, still stuck on deployment"}],"estimates":{"turns_required":14,"time_to_complete_minutes":95},"completed_at":"2026-03-26T23:35:31.319667+00:00","started_at":"2026-03-26T23:34:47.361514+00:00","mode":null}],"persona_run_count":6,"methodology":{"dimensions":["perception","generation","attention","learning","memory","reasoning","metacognition","executive_functions","problem_solving","social_cognition","novelty","orchestration"],"tasks_per_dimension":10,"judge_model":"claude-opus-4-6","budget_cap":50.0,"include_helm":true,"include_orchestration":true,"include_production":true,"include_novelty":true},"methodology_version":null,"evidence_provenance":{"profile_collection":"corpus_taas_profiles","audit_collection":"corpus_agi_audits","profile_meta_collection":null,"persona_runs_collection":"agi_complex_evaluations","methodology_collection":"agi_audits.config"}}