ModelScout AI

# ModelScout AI

Autonomous talent intelligence platform

## Overview
An autonomous talent intelligence platform built on a 20-article constitution, 22 project phases, 15 specialized AI agents, and a knowledge graph. A living specification document brought to life — covering discovery, sourcing, matching, negotiation, and learning feedback.

## Vision
Recruitment is broken — manual, biased, slow. ModelScout AI is an autonomous talent agency: 15 agents discover, source, match, negotiate, and learn — governed by an immutable constitution.

## Problem
### Manual recruitment
Recruiters do repetitive sourcing & screening.
- Slow time-to-hire
- High cost-per-hire
- Inconsistent quality
### No autonomous loop
No system learns from placements to improve future matches.
- No feedback loop
- Biased repeats
- No knowledge accumulation
### Opaque decisions
Candidates and hiring managers can't see why a match was made.
- No explainability
- Trust deficit
- Compliance risk

## Solution
### 15-agent system
Specialized agents across discovery, sourcing, matching, negotiation, learning.
### Constitution-governed
20 immutable articles constrain agent behavior.
### Knowledge graph
18 entities + relationships accumulate placement intelligence.
### Autonomous loop
12-step agency loop from campaign creation to learning feedback.

## Key Features
- **15 AI Agents**: Specialized talent agents
- **Constitution**: 20 immutable governance articles
- **Knowledge Graph**: 18-entity talent graph
- **Autonomous Loop**: 12-step agency cycle
- **Risk Register**: 8 tracked AI risks
- **Roadmap**: 5 versions, 23 deliverables

## Architecture
**Pattern:** Agent constellation + knowledge graph + constitution governance

- **Frontend** (Next.js 16 + Tailwind v4): Living spec portal
- **Agents** (15 specialized agents): Discovery → Learning
- **Knowledge Graph** (18 entities, 20 relations): Talent intelligence store
- **Governance** (20-article constitution): Immutable constraints
- **Risk** (8-risk register): Hallucination, bias, deepfake guards

## Tech Stack
### Frontend
- Next.js 16
- React 19
- Tailwind v4
- shadcn/ui
- Framer Motion
### Data
- TypeScript specs
- Knowledge graph model
### Governance
- Constitution articles
- Risk register

## Business Model
- **Enterprise talent**: Per-hire success fee + retainer
- **Agency platform**: License agent fleet to recruiters
- **Talent data**: Anonymized market intelligence API

## Target Audience
- Enterprise talent acquisition
- Recruitment agencies
- Executive search
- Tech hiring teams

## Competitive Advantages
- Constitution-governed (trust)
- 15-agent specialization
- Explainable graph

## Market Potential
Talent intelligence ~$8B, AI recruiting growing 40% YoY

## Pricing
$5K–$25K / month enterprise

### Pricing Tiers
- **Team** ($5,000/mo) — Mid-size tech hiring teams
  - 1 team
  - 5 agents
  - Discovery + sourcing
  - Knowledge graph
- **Business** ($12,000/mo) — Recruitment agencies
  - 3 teams
  - 15 agents
  - Matching engine
  - Negotiation agent
- **Enterprise** ($25,000+/mo) — Enterprise talent acquisition
  - Unlimited teams
  - All agents
  - Talent data API
  - SSO + audit log

## Roadmap
### P0–P5: Vision & foundation _(done)_
- Constitution
- Phases
- Agents spec
- Knowledge graph
- Risk register
### P6–P12: Build _(progress)_
- Discovery agent
- Sourcing agent
- Matching engine
- Negotiation agent
### P13–P21: Autonomy _(planned)_
- Full autonomous loop
- Learning feedback
- Production deployment

## What We Need
- Funding for agent compute
- Enterprise pilot partner
- LLM infrastructure
- Talent data partnerships

## Looking For
- Angel
- Strategic Investor
- Co-Founder

## Stage
Alpha (55% complete)

**Estimated MVP:** 4 months to pilot

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*This is an auto-generated overview from product configuration data.*