research Recruiting / upskilling

CapacitAI ICM

Internal worktree for validating the ICM architecture behind the CapacitAI recruiting platform

CapacitAI ICM
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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