Timeline Generator
Extracts dates and events from documents to create a chronological narrative.
When to Use
- •User asks for a "timeline" of events
- •User wants to understand "what happened when"
- •User needs to see the sequence of decisions
- •User wants to track evolution of a project or situation
Instructions
Phase 1: Extract Dates and Events
- •
Scan all documents in the target folder
- •
For each document, extract:
- •Explicit dates mentioned
- •Implicit timing ("last month", "Q2", "after the rollout")
- •What happened at each date point
- •Who was involved
- •Significance
- •
Categorize events by type:
- •📢 Announcements/Decisions
- •🚀 Launches/Deployments
- •⚠️ Problems/Concerns
- •💡 Proposals/Ideas
- •📊 Metrics/Results
- •🔄 Pivots/Changes
- •👥 People Events
Phase 2: Build the Timeline
- •Sort chronologically
- •Identify turning points - moments where direction changed
- •Note gaps - periods with no documented activity
- •Connect cause and effect - what led to what
Output Format
markdown
# Timeline: [Topic] ## Chronological Events ### [Year or Quarter] | Date | Event | Type | Source | |------|-------|------|--------| | Jan 2025 | CEO announces AI initiative at Davos | 📢 | carla_post_davos_memo | | Mar 2025 | EnterpriseAI rollout begins | 🚀 | enterpriseai_rollout | ### [Next Period] ... ## Turning Points 1. **[Date]: [Event]** - What changed: [description] - Triggered by: [cause] - Led to: [consequence] ## Patterns Observed - [Pattern 1] - [Pattern 2] ## Gaps in the Record - [Period with no documentation] - [Questions about what happened between X and Y]
Tips
- •Pay attention to the time between events—sometimes silence is significant
- •Look for accelerations (things happening faster) or decelerations
- •Note when the same person appears at multiple turning points
- •Watch for events that happened simultaneously but might be connected