research Recruiting / upskilling
CapacitAI ICM
Internal worktree for validating the ICM architecture behind the CapacitAI recruiting platform
Workflow Automation Operations Orchestration
Results
Lower architecture risk and clearer implementation patterns before curriculum rollout
CapacitAI ICM
Overview
CapacitAI ICM is the internal test worktree used to validate the Interpretable Context Methodology in practice before folding patterns back into the main CapacitAI curriculum.
Challenge
- Needed proof that the ICM structure works with an actual LLM agent
- Wanted a clean separation between curriculum design and live verification
- Needed reproducible state, routing, and artifact rules
Solution
- Dedicated git worktree for ICM testing
- Root-file architecture for identity, routing, contracts, references, and agents
- Repeatable turn-by-turn workflow checks
- Artifact persistence and versioned test outputs
Results
- Clearer operating patterns for the CapacitAI system
- Reduced risk before teaching ICM publicly
- A practical testbed for future curriculum and product refinement
AI Layers Applied
- Workflow Automation
- Operations Orchestration
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