- Fix ChatBubble to handle non-string content with String() wrapper - Fix API route to use generateText for non-streaming requests - Add @ai-sdk/openai-compatible for non-OpenAI providers (DeepSeek, etc.) - Use Chat Completions API instead of Responses API for compatible providers - Update ChatBubble tests and fix component exports to kebab-case - Remove stale PascalCase ChatBubble.tsx file
9.6 KiB
stepsCompleted, files
| stepsCompleted | files | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Implementation Readiness Assessment Report
Date: 2026-01-21 Project: Test01
PRD Analysis
Functional Requirements
Dual-Agent Pipeline (Core Innovation)
- FR-01: System can detect "Venting" vs. "Insight" intent from initial user input.
- FR-02: "Teacher Agent" can generate probing questions to elicit specific missing details based on the user's initial input.
- FR-03: "Ghostwriter Agent" can transform the structured interview data into a grammatically correct and structured "Enlightenment" artifact (e.g., Markdown post).
- FR-04: Users can "Regenerate" the outcome with specific critique (e.g., "Make it less corporate", "Focus more on the technical solution").
- FR-05: System provides a "Fast Track" option to bypass the interview and go straight to generation for advanced users.
Content Management
- FR-06: Users can view a chronological feed of past "Enlightenments" (history).
- FR-07: Users can "One-Click Copy" the formatted text to clipboard.
- FR-08: Users can delete past entries.
- FR-09: Users can edit the generated draft manually before exporting.
PWA & Offline Capabilities
- FR-10: Users can access the app and view history while offline.
- FR-11: Users can complete a full "Venting Session" offline; system queues generation for reconnection.
- FR-12: System actively prompts users to "Add to Home Screen" (A2HS) upon meeting engagement criteria.
Data & Privacy
- FR-13: System stores all chat history locally (persistent client-side storage) by default.
- FR-14: Users can export their entire history as a JSON/Markdown file.
Total FRs: 14
Non-Functional Requirements
Performance & Responsiveness
- NFR-01 (Chat Latency): The "Teacher" agent must generate the first follow-up question within < 3 seconds to maintain conversational flow.
- NFR-02 (App Load Time): The app must be interactive (Time to Interactive) in < 1.5 seconds on 4G networks.
Privacy & Security
- NFR-03 (Data Sovereignty): User chat logs are stored 100% Client-Side (persistent client-side storage) in the MVP. No user content is sent to the cloud except for the temporary API inference call.
- NFR-04 (Inference Privacy): Data sent to the LLM API must be stateless (not used for training).
Reliability & Offline
- NFR-05 (Offline Behavior): The app shell and local history must remain accessible in Aeroplane Mode. Note: Active Chat interactions will be unavailable offline as they require live LLM access.
- NFR-06 (Data Persistence): Drafts must be auto-saved locally every 2 seconds to prevent data loss.
Accessibility
- NFR-07 (Visual Accessibility): Dark Mode is the default. Contrast ratios must meet WCAG AA standards to reduce eye strain for late-night users.
Total NFRs: 7
Additional Requirements
Domain-Specific Requirements
- Data Privacy (Adult Learners): Strict control over private "Venting" logs.
- Content Moderation: Guardrails to prevent generating toxic/offensive content.
- Tone Safety: "Professional yet Authentic" tone.
- Hallucination Prevention: Strict prompt engineering grounded in user input.
- Bloom's Taxonomy Application: Scaffolding from Remembering -> Understanding -> Creating.
PWA Technical Constraints
- Installability: Valid
manifest.json. - Browser Support: Tier 1 (iOS Safari, Android Chrome).
- SEO Strategy: Public marketing page indexed; private app routes
noindex.
PRD Completeness Assessment
The PRD is highly detailed and structurally sound. Requirements are specific, measurable (where applicable), and traceable to user journeys. The core innovation (Dual-Agent) is clearly defined in FRs. NFRs cover critical PWA aspects like offline behavior and privacy. The scope is well-bounded for an MVP.
Epic Coverage Validation
Coverage Matrix
| FR Number | PRD Requirement | Epic Coverage | Status |
|---|---|---|---|
| FR-01 | Detect "Venting" vs "Insight" intent | Epic 1: Core "Venting to Wisdom" | ✅ Covered |
| FR-02 | Teacher probing questions | Epic 1: Core "Venting to Wisdom" | ✅ Covered |
| FR-03 | Ghostwriter drafting | Epic 1: Core "Venting to Wisdom" | ✅ Covered |
| FR-04 | Regenerate with critique | Epic 1: Core "Venting to Wisdom" | ✅ Covered |
| FR-05 | Fast Track option | Epic 4: Advanced Workflow | ✅ Covered |
| FR-06 | History feed | Epic 2: Content Management | ✅ Covered |
| FR-07 | One-Click Copy | Epic 1: Core "Venting to Wisdom" | ✅ Covered |
| FR-08 | Delete entries | Epic 2: Content Management | ✅ Covered |
| FR-09 | Manual draft editing | Epic 2: Content Management | ✅ Covered |
| FR-10 | Offline access | Epic 3: Offline Capability | ✅ Covered |
| FR-11 | Offline venting session | Epic 3: Offline Capability | ✅ Covered |
| FR-12 | Add to Home Screen prompts | Epic 3: Offline Capability | ✅ Covered |
| FR-13 | Local storage (client-side) | Epic 1: Core "Venting to Wisdom" | ✅ Covered |
| FR-14 | Export history | Epic 2: Content Management | ✅ Covered |
Missing Requirements
- None. All Functional Requirements are explicitly mapped to Epics and Stories.
Coverage Statistics
- Total PRD FRs: 14
- FRs covered in epics: 14
- Coverage percentage: 100%
UX Alignment Assessment
UX Document Status
Found: ux-design-specification.md
Alignment Analysis
The UX Specification is fully aligned with both the PRD and Reference Architecture.
UX ↔ PRD Alignment
- Core Loop: The "Venting -> Insight" journey in the PRD is perfectly visualized in the UX "Daily Vent" flow.
- Dual-Agent Interaction: The UX explicitly designs for "Teacher" (Chat Bubble) and "Ghostwriter" (Draft Card) distinct visual modes, supporting PRD FR-01/02/03.
- PWA Features: PRD FR-10/12 (Offline/A2HS) are central to the UX "Platform Strategy" and "Responsive Design" sections.
UX ↔ Architecture Alignment
- Tech Stack: Both documents specify ShadCN UI + Tailwind + Next.js.
- State Management: UX "Slide-Up" sheets are supported by the Architecture's decision to use Zustand for transient UI state.
- Offline Data: UX requirement for "local retention" is backed by the Dexie.js decision in Architecture.
- Visual System: The "Morning Mist" theme is acknowledged as a cross-cutting concern in Architecture.
Alignment Issues
- None. The documentation set is highly coherent.
Warnings
- None.
Epic Quality Review
Structure Validation
- User Value Focus: ✅ PASS. All 4 Epics focus on User Outcomes ("Venting", "Legacy Log", "Access Anywhere", "Streamlined Flow"). No pure "Technical Epics" found.
- Epic Independence: ✅ PASS. Epic 1 provides the core end-to-end value independently. Epic 2 and 3 add value on top without creating circular dependencies.
- Greenfield Compliance: ✅ PASS. Epic 1 Story 1 ("Project Initialization") correctly follows the Greenfield project requirement to set up the foundation first.
Story Quality Assessment
- Sizing: Stories are well-sliced (e.g., separating "Teacher Logic" from "Ghostwriter Logic" ensures clear scope).
- Acceptance Criteria: All stories use strict Given/When/Then BDD format with clear success states.
- Dependencies: Stories follow a logical linear progression (Init -> Basic Chat -> Agents -> Refinement).
Violations Finding
- Critical Violations: None.
- Major Issues: None.
- Minor Concerns: None.
Recommendations
- Strategy: The planned Epic breakdown is Ready for Implementation.
- Testing: Ensure Story 3.2 ("Action Replay Queue") is tested under actual offline conditions (Airplane Mode) as per AC.
Summary and Recommendations
Overall Readiness Status
✅ READY FOR IMPLEMENTATION
The project documentation (PRD, Architecture, UX, Epics) is complete, coherent, and highly traceable. The "Greenfield" MVP scope is well-defined and structurally sound.
Critical Issues Requiring Immediate Action
- None. Zero critical blocking issues were identified across 4 validation passes.
Recommended Next Steps
- Sprint Planning: Move to Phase 4 and load Epics into the sprint tracker.
- Initialize Project: Execute Epic 1 / Story 1.1 to scaffold the Next.js PWA.
- Setup Edge Proxy: Prioritize the security layer (Story 1.1) before building features.
Final Note
This assessment identified 0 critical issues across 4 categories (Requirements, UX, Architecture, Epics). The project is in an optimal state to begin coding.