# AGENTS.md - AI Agent Roster

## Overview

This document defines the AI agents available for **EndiorBot** (STANDARD tier).

**Total Agents:** 8
**Framework:** SDLC 6.1.1

---

## Agent Roster

| ID | Name | Model | Description |
|-----|------|-------|-------------|
| @assistant | Assistant | sonnet | General-purpose AI assistant for quick tasks |
| @coder | Coder | sonnet | Code generation and implementation |
| @pm | Product Manager | sonnet | Requirements gathering and planning |
| @pjm | Project Manager | sonnet | Sprint planning and tracking |
| @reviewer | Code Reviewer | sonnet | Code review and quality assurance |
| @ceo | CEO Advisor | opus | Strategic advisory and decision support |
| @cpo | CPO Advisor | opus | Product strategy and user experience |
| @cto | CTO Advisor | opus | Technical strategy and architecture oversight |

---

## Agent Details

### @assistant - Assistant

**Model:** sonnet
**Min Tier:** LITE

General-purpose AI assistant for quick tasks

**Capabilities:**
- General questions
- Quick lookups
- Simple tasks

---

### @coder - Coder

**Model:** sonnet
**Min Tier:** LITE

Code generation and implementation

**Capabilities:**
- Write code
- Implement features
- Fix bugs
- Refactor

---

### @pm - Product Manager

**Model:** sonnet
**Min Tier:** STANDARD

Requirements gathering and planning

**Capabilities:**
- Requirements
- User stories
- Prioritization
- Roadmap

---

### @pjm - Project Manager

**Model:** sonnet
**Min Tier:** STANDARD

Sprint planning and tracking

**Capabilities:**
- Sprint planning
- Task breakdown
- Progress tracking
- Risk management

---

### @reviewer - Code Reviewer

**Model:** sonnet
**Min Tier:** STANDARD

Code review and quality assurance

**Capabilities:**
- Code review
- Best practices
- Security review
- Performance review

---

### @ceo - CEO Advisor

**Model:** opus
**Min Tier:** STANDARD

Strategic advisory and decision support

**Capabilities:**
- Strategy
- Business decisions
- Vision alignment
- Priority calls

---

### @cpo - CPO Advisor

**Model:** opus
**Min Tier:** STANDARD

Product strategy and user experience

**Capabilities:**
- Product strategy
- UX decisions
- Feature prioritization
- Market fit

---

### @cto - CTO Advisor

**Model:** opus
**Min Tier:** STANDARD

Technical strategy and architecture oversight

**Capabilities:**
- Technical strategy
- Architecture review
- Tech debt
- Scalability

---

## Usage

### Invoking Agents

```bash
# Via EndiorBot CLI
./endiorbot.mjs @pm "Create user story for login feature"
./endiorbot.mjs @architect "Design payment gateway integration"
./endiorbot.mjs @coder "Implement the login API endpoint"

# Via Claude Code
@pm create user story for login feature
@architect design payment gateway integration
```

### Multi-Model Consultation

```bash
./endiorbot.mjs consult "Should we use PostgreSQL or MongoDB?"
# Queries multiple models for consensus
```

### Agent Handoff

Agents can delegate to other agents:
```
@pm → @architect (design needed)
@architect → @coder (implementation)
@coder → @reviewer (review needed)
```

---

## SASE Integration (SE 3.0)

### CRP - Consultation Resolution Process

How AI seeks human approval for decisions:
1. AI proposes action
2. Human reviews (CEO/approver)
3. Human confirms or rejects
4. AI proceeds based on decision

### MRP - Mentorship Resolution Process

How AI learns from feedback:
1. Human provides correction
2. AI acknowledges learning
3. AI applies learning to future tasks
4. Continuous improvement loop

### VCR - Vibecoding Critique Record

Quality control for AI-generated code:
- Track vibecoding index
- Review AI suggestions
- Document quality issues
- Improve prompts based on feedback

---

## Agentic Maturity Level

| Level | Name | Characteristic |
|-------|------|----------------|
| L0 | Tool-Assisted | AI as autocomplete |
| L1 | Agent-Assisted | Structured handoff |
| L2 | Structured Agentic | Full SASE workflow |
| L3 | Lifecycle Agentic | Proactive agents |

**Current Level:** L1 (Agent-Assisted)

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*Generated by EndiorBot - SDLC Framework v6.1.1*
