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Project Plan - Tactical Execution

📍 Breadcrumbs

Purpose of This Document

For AI Agents: Understand current priorities and context before implementing features. You'll create your own task-level breakdown using TodoWrite.

For Humans: High-level status overview bridging ROADMAP strategy to execution tools (GitHub Issues, Jira, etc.).

PROJECT_PLAN.md focuses on what and when:

  • What are we building/doing right now?
  • When is this happening? (now / next / later)
  • Who is responsible? (optional, useful for delegation)

This is NOT:

  • Task-level tracking (GitHub Issues/Jira handle this)
  • Strategic vision (see ROADMAP.md)
  • Implementation details (see CLAUDE.md)

Timeframe: Current focus + next 1-2 months, reviewed weekly or biweekly

Current Focus ([Month Year])

Theme: [What we're focused on - e.g., "Baseline Model Development" or "Multi-tenant Foundation"]

Strategic Alignment: Supports [ROADMAP milestone - e.g., "Q1 2025: Establish ML pipeline foundation"]

What We're Building

Now (In Progress)

1. [Initiative/Feature Name]

  • What: [Brief description of what this is - e.g., "Data preprocessing pipeline with feature engineering"]
  • Why: [Business/technical reason - e.g., "Required for baseline model training"]
  • Who: [Team/Person/Agent - optional, e.g., "Data team" or "TBD"]
  • Status: [Phase or % - e.g., "70% complete - validation in progress"]
  • Tracking: GitHub Issues #45-52 or Jira Epic
  • Next milestone: [What's coming next - e.g., "Complete feature validation by end of month"]

2. [Initiative/Feature Name]

  • What: [Description]
  • Why: [Reason]
  • Who: [Assignee - optional]
  • Status: [Status]
  • Tracking: [Link to detailed work]
  • Blocker: [If applicable - e.g., "Waiting on dataset access approval"]

Next (Coming Soon)

1. [Initiative/Feature Name]

  • What: [Description]
  • Why: [Reason]
  • Who: [Assignee - optional]
  • Depends on: [Prerequisites - e.g., "Completing data pipeline work above"]
  • Target start: [Timeframe - e.g., "Early February" or "After current sprint"]

2. [Initiative/Feature Name]

  • What: [Description]
  • Why: [Reason]
  • Decision needed: [If applicable - e.g., "Model architecture selection - awaiting experiments"]

Later (On Deck)

  • [High-level item 1 - e.g., "Model deployment pipeline"]
  • [High-level item 2 - e.g., "A/B testing framework"]

Active Blockers

🚧 [Blocker Name - e.g., "Production Dataset Access"]

  • Blocks: [What's affected - e.g., "Model training with real data"]
  • Owner: [Who's unblocking - e.g., "Compliance team"]
  • ETA: [When resolved - e.g., "February 1"]
  • Workaround: [What we're doing meanwhile - e.g., "Training on synthetic data"]

🚧 [Blocker Name]

  • Blocks: [Impact]
  • Owner: [Responsible party]
  • ETA: [Timeline]

Recently Completed

✅ [Accomplishment - e.g., "Exploratory Data Analysis"]

  • Completed: [When - e.g., "Mid-January"]
  • Outcome: [What was delivered - e.g., "Identified 15 key features, documented in notebook"]
  • Documentation: [Where documented - e.g., "notebooks/eda/initial_analysis.ipynb" or CHANGELOG.md]

✅ [Accomplishment]

  • Completed: [When]
  • Outcome: [What was delivered]
  • Documentation: [Link]

Key Links

Detailed Task Tracking:

Progress & Experiments (if applicable):

Related Documentation:

For AI Agents

When you're asked to implement a feature:

  1. Read this document to understand current focus and alignment
  2. Check blockers to avoid working on blocked items
  3. Use TodoWrite to create your own task-level breakdown
  4. Work incrementally through your tasks, marking complete as you go
  5. Update documentation when your work is done (CHANGELOG, CLAUDE.md if architecture changed)

Your task lists are ephemeral (conversation-level). This document stays high-level.

Last Updated: [YYYY-MM-DD] Review Cadence: [e.g., "Weekly on Mondays" or "Biweekly"] Current Period: [e.g., "January 2025" or "Sprint 12"]