Multi-agent reasoning · v4 iteration Production-ready assessment platform with API, frontend, RAG integration, and quality gates. Part of Ivylevel — adaptive outcome intelligence for the AI-era student.
The next iteration of Ivylevel's multi-agent reasoning system, building on the V2 substrate.
Specialist agents working in coordination to:
- Continuously decode student signals across cognitive, behavioral, and contextual dimensions
- Reason adaptively across pathways, portfolios, and skill trajectories
- Surface high-confidence recommendations to coaches and families
- Verify outcomes as they compound over multi-year arcs
Each iteration sharpens the agents on V1's expert-labeled substrate — 3+ years of coach intelligence and verified outcomes.
Ivylevel V2 architecture: Decode · Design · Deliver — continuously, per student.
This repo extends the multi-agent reasoning layer:
- Decode → deeper multi-dimensional student signal interpretation
- Design → adaptive pathway + portfolio + opportunity reasoning
- Deliver → choreographed execution + outcome delivery + proof verification
Earlier iteration: ivylevel-multiagent-v2.0
- Active development
- Latest multi-agent iteration · stealth
- Part of the V2 substrate
Public surface for architecture visibility. Agent specifications, prompts, and proprietary intelligence types stay private.
For more: @sirajnazir · siraj@ivymentors.co