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Current Process - Agentic PM Demo
This side document records the process currently being used to finish the Agentic PM Demo UX and automation pass on branch codexMacTiger/agentic-pm-next.
Working Objective
We are completing a 10-point UX and behavior goal:
- Move model settings into a popup that can be hidden behind a button after setup.
- Run a model connection test when the API key/config is provided.
- Highlight each work package while running, then mark completed packages with a green done/version indicator.
- Make the work-package detail view output-first, with markdown rendering.
- Hide non-output package details inside dropdown/collapsible sections.
- Show detailed model request and response traces in the agent log.
- Make the chat area independently scrollable, like the Codex desktop chat.
- Show current running activity and hints inside the chat area.
- Update the page title and chat title when the user provides a product name.
- Run a product-idea test and review the generated outputs for quality.
Current Workflow
The working loop is:
- Inspect current source and runtime state before trusting previous context.
- Make narrowly scoped UI or behavior changes in the existing Next.js app.
- Validate with automated commands:
npm testnpm run lintnpm run build
- Validate runtime behavior in the browser at
http://127.0.0.1:3000. - Use the product idea below as the real end-to-end scenario:
Build a product called TorqueGuard AI for industrial tightening anomaly monitoring with traceable shift dashboards, maintenance diagnostics, and operator alerts.
- Review generated package output quality by opening work-package detail views and checking that outputs are concrete, package-specific, markdown-rendered, and traceable to the product idea.
Current Evidence
Observed browser/runtime evidence:
- Model settings appear as a popup panel behind
Live Settings. - The connection state shows
Connected to the configured model. - The active product title is
TorqueGuard AIin the app header and chat header. - Work packages reached
Donestate and showv1version badges. - The agent log shows board automation completion and package/detail activity.
- Customer Requirements Specification detail view shows
PRIMARY OUTPUTfirst. - The CRS output is markdown-rendered into headings and tables.
- Package context is hidden behind a
PACKAGE CONTEXTcollapsible section. - CRS output includes concrete TorqueGuard AI requirements for operators, supervisors, maintenance engineers, plant managers, legal/compliance, security, technology, manufacturing, logistics, and trade.
Fresh command evidence from the last verification pass:
npm test: 6 test files passed, 15 tests passed.npm run lint: completed with exit code 0.npm run build: completed successfully with Next.js production build output.
Output Review Notes
The full board automation completed and generated outputs for:
- CRS
- Final Concept
- SRS
- Safety
- Certification
- Test
- Decompose
- Industrial Design
- Patent
- Design FMEA
- Engineering Concept
- Service Review
Quality review status:
- The CRS output is satisfactory for an MVP demo: it is concrete, product-specific, structured, and rendered as tables/headings.
- The board-level completion log confirms all 12 package outputs were generated.
- Further detailed review can sample each package detail view individually if a stricter artifact-by-artifact approval gate is needed before remote deployment.
Important Constraints
- Do not hardcode or commit the user API key.
- Keep the app mock-capable when no API key is provided.
- Treat
executeas generated by the configured model, not as a real engineering/certification/toolchain execution. - Preserve the current Codex-like visual language: quiet, dense, soft panels, small controls, no heavy board lines.
- Keep the current local dev target at
http://127.0.0.1:3000.
Next Step
Run one final verification pass after this document is added, then report the current state clearly. If the user wants stricter output review, open each work-package detail view and record a per-package approval note.