Cursor workflow optimization and EP task automation strategy
Date: February 12, 2026 Source: Granola Meeting ID: 5d7a9b0f-26e0-4241-9070-4fee20ceee33 URL: https://notes.granola.ai/t/5d7a9b0f-26e0-4241-9070-4fee20ceee33
Participants:
- Uttam Kumaran (Brainforge)
Summary
AI Agent Development Framework
- Creating “soul documents” for AI agents
- Constitution defining behavior, functions, and core purpose
- Similar to Claude’s system prompts but more comprehensive
- Can be enriched with situational examples and interconnects
- Building CSO, SL, and EP agent personas
- Digital personas for bouncing ideas and task execution
- Foundation for eventual pure agent automation
- Current focus on tooling and NCP connections
Case Study Generation Process
- Successfully created marine parts ecommerce case study
- Used existing pool parts project as template
- Generated aligned proposal content for IL team
- Marketing team will use as template for AI-assisted drafting
- Improvements made with pool parts repo access
- Added actual data modeling logic and technical details
- Enhanced shipping-focused content based on transcript history
- Included source references for future case study development
EP Task Automation Strategy
- Current EP responsibilities taking 60-90 minutes weekly
- Slide deck updates, Linear ticket management, client status tracking
- Target: reduce to 15 minutes per task through AI assistance
- Three-phase approach identified:
- Get humans executing tasks efficiently with AI tools
- Build agent systems to handle routine tasks
- Full automation with human oversight for exceptions
- Foundation requirements before automation:
- Unified client hubs with all project resources
- Connected data sources (Notion, Linear, Slack, Gantt charts)
- Standardized processes and documentation
System Integration Challenges
- Scattered client resources across multiple platforms
- Instagant for project timelines
- Linear for individual tickets
- Notion for client info
- No unified access point for comprehensive project view
- MCP connection reliability issues
- Fragile connections requiring monitoring and auto-repair
- Need for health checks and error logging
- OpenTelemetry recommended for production systems
Cursor Adoption and Training
- Onboarding friction identified as major barrier
- Requires hands-on teaching for effective adoption
- People default to familiar tools when setup is difficult
- Need to reduce options and force Cursor as primary tool
- Usage patterns and best practices
- Using Cursor as digital notebook with voice transcription
- Auto model routing needed to optimize costs ($600/month current spend)
- Session history recovery and management workflows
Production AI Review System
- GitHub action for automated PR risk profiling
- Labels: raw/half-baked/fully-baked, priority levels, effort estimates
- Auto-generates descriptions and runs security/test checks
- Enables Sam to focus on complex reviews, auto-approve simple changes
- Scaling challenge: 30 PRs currently → 300 PRs projected
- Need AI to handle 90% of routine reviews
- Human reviewers focus on security, major changes, subject matter expertise
Next Steps and Priorities
- Create comprehensive EP task inventory
- Map all responsibilities with time estimates and difficulty ratings
- Stack rank by impact and implementation feasibility
- Focus on hour-to-15-minute reductions, not 15-to-5-minute optimizations
- Establish 100% data freshness standards
- 10 core questions every EP must answer instantly
- Client hub accessibility test as pass/fail criteria
- Tie performance bonuses to ticket freshness and documentation quality
- Timeline: 2-3 weeks for EP foundation, then expand to CSO/SL roles