---
id: TASK-REV-A880
title: "Plan: Implement FEAT-INT-001 insight extraction"
status: completed
created: 2026-03-06T00:00:00Z
updated: 2026-03-06T00:00:00Z
review_results:
  mode: decision
  depth: standard
  decision: implement
  approach: "Option 1: Direct Spec Implementation"
  subtasks_created: 5
  feature_file: .guardkit/features/FEAT-87A6.yaml
clarification:
  context_a:
    focus: all
    tradeoff: quality
  context_b:
    approach: direct_spec_implementation
    execution: sequential
    testing: standard
priority: high
tags: [review, insight-extraction, feat-int-001, planning]
task_type: review
complexity: 6
decision_required: true
feature_ref: FEAT-INT-001
context_files:
  - docs/features/FEAT-INT-001-insight-extraction.md
---

# Task: Plan FEAT-INT-001 Insight Extraction

## Description
Plan the implementation of FEAT-INT-001: Insight Extraction Tool with all 6 focus presets (general, entrepreneurial, investment, technical, youtube-channel, ai-learning). This is the intelligence layer that transforms raw transcripts into structured, consumable knowledge nuggets.

## Review Scope
- **Focus**: All aspects (comprehensive analysis)
- **Trade-off Priority**: Quality/reliability
- **Feature Complexity**: 6/10
- **Dependencies**: FEAT-SKEL-003 (Transcript Tool)

## Key Requirements
1. `extract_insights` tool accepts transcript text and focus area(s)
2. Supports 6 focus presets: general, entrepreneurial, investment, technical, youtube-channel, ai-learning
3. Returns structured insights with category, title, summary, optional quote, confidence
4. Handles long transcripts via chunking strategy
5. Returns both individual insights and overall summary
6. Provides actionability flag for each insight
7. `list_focus_areas` tool returns all presets with their category definitions
8. Unit tests cover output structure validation and all presets

## Analysis Requested
- Technical options for implementation approach
- Architecture implications and service layer design
- Effort estimation and task breakdown
- Risk analysis (dependency on FEAT-SKEL-003, prompt engineering complexity)
- Testing strategy for all 6 presets

## Implementation Notes

**Review completed** — Decision: Implement (Option 1: Direct Spec Implementation)

Generated implementation structure:
- Feature folder: `tasks/backlog/insight-extraction/`
- 5 subtasks: TASK-INT-001 through TASK-INT-005
- IMPLEMENTATION-GUIDE.md with Mermaid diagrams
- Feature YAML: `.guardkit/features/FEAT-87A6.yaml`

Next: `/feature-build FEAT-87A6`
