Log Research Entry

Add structured entries to progress.yaml tracking research, experiments, and learnings.

Process

1. •

   Read progress.yaml at project root (create if doesn't exist)

2. •

   Analyze conversation for:

   • •Research questions explored
   • •Experiments run and their results
   • •Key learnings/insights
   • •Decisions made
   • •Blockers or open questions
   • •Links to resources, docs, deployments
3. •

   Draft entry and show to user:

   yaml

   - date: 2026-02-01
     topic: "LangSmith Deployment POC"
     summary: "Tested agentic approach for browser automation"
     learnings:
       - "Graph = structure, Prompt = instructions"
       - "Secrets can be updated via API without redeploy"
     decisions:
       - "Use agentic approach (LLM decides sequence)"
     next:
       - "Add browser tools (click, type, screenshot)"
     links:
       - "https://ht-ordinary-temporary-18.eu.langgraph.app"
   

4. •

   Get approval before writing

5. •

   Append to progress.yaml

File Format

# Progress Log
# Research entries, experiments, learnings

entries:
  - date: "2026-02-01"
    topic: "Short topic name"
    summary: "1-2 sentence summary"
    learnings:
      - "Key insight 1"
      - "Key insight 2"
    decisions:
      - "Decision made and why"
    blockers:
      - "Open question or blocker"
    next:
      - "Follow-up action"
    links:
      - "url or path"
    session: "SESSION_TAG_xxx" # optional, for cross-reference

Fields

Rules

• •Entries are append-only (never edit past entries)
• •Keep summaries concise — this is a log, not a report
• •Link to detailed docs if available (e.g., docs/orchestration-comparison.md)
• •Reference todo items if applicable (e.g., "see t12")
• •One entry per topic per day (merge if same topic)

Example Output

entries:
  - date: "2026-02-01"
    topic: "LangSmith Deployment"
    summary: "Deployed POC agent to LangSmith cloud, configured secrets via API"
    learnings:
      - "Graph defines structure (nodes/edges), prompt defines behavior"
      - "For agentic: graph is just LLM<->tools loop, LLM decides sequence"
      - "Secrets API: PATCH /v2/deployments/{id} with {secrets: [{name, value}]}"
    decisions:
      - "Test agentic approach before workflow approach"
    next:
      - "Add browser_click, browser_type, browser_screenshot tools"
      - "Test Wise login end-to-end"
    links:
      - "https://ht-ordinary-temporary-18-....eu.langgraph.app"
      - "docs/orchestration-comparison.md"
    session: "SESSION_TAG_langsmith-deployment-poc_20260201"