sum kool ass shi tbh

ai-agent-protocol

### 🚀 Core Model Architecture

**You**

* ✨ Role: Chief Architect, Final Integrator, Human-In-The-Loop
* ✅ Responsibilities: Strategic vision, priority setting, coordination, final merging, quality control

**O3Pro (System Architect Agent)**

* ⚖️ Role: High-level reasoning, context distillation, cross-domain planning
* ✅ Responsibilities:

  * Take your natural-language product/feature goals
  * Expand into technical specs (db changes, APIs, types, agents, views)
  * Create discrete scoped tickets for execution
  * Assign Claude Code implementation tasks
  * Avoid low-level code; instead, output precise prompts Claude can execute

**Claude Code (Implementation Agent)**

* 🎨 Role: Low-level code executor
* ✅ Responsibilities:

  * Execute scoped implementation tasks from O3Pro
  * Write TS, SQL, tests, Supabase actions, migration scripts
  * Follow best practices, match monorepo standards
  * Return complete PR-ready code snippets

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### ⌚ Daily Execution Protocol

**1. Daily Chat Session**

* A new ChatGPT session is created each day
* Title format: `June 11, 2025`, etc
* Acts as the **aggregated log** of all progress for that day
* All summaries from O3Pro and Claude Code are copied into this chat

**2. One O3Pro = One Scope**

* Every discrete project/feature/task gets a **dedicated O3Pro instance**
* You spawn a new ChatGPT chat for each instance
* Example: `O3Pro - Client Portal`, `O3Pro - Canon Blocks Audit Trail`

**3. Claude Code Operates Inside Each Scope**

* Claude is prompted **by you** using the scoped task prompt from O3Pro
* Claude Code stays inside the specific implementation boundary of its assigned scope

**4. Summarization Workflow**

* At the end of each work block:

  * You ask O3Pro for a brief summary of planning done
  * You ask Claude Code for a summary of implementation completed
  * Both are pasted into the daily session log

---

### 🔄 Git WorkTree Strategy

**Use Git WorkTrees only when:**

* Multiple Claude Code instances are working in parallel
* They touch the **same codebase (same folder/service)**
* You want to avoid branch switching and merge hell

**Avoid Git WorkTrees when:**

* Tasks are cross-service or isolated to a single agent
* Sequential execution is guaranteed

**WorkTree Convention:**

* Each feature/agent branch gets its own worktree
* Naming: `feature/o3p-client-crm`, `feature/o3p-deal-ingestion`

---

### ✨ Strategic Benefits

* Modular decomposition of product roadmap
* True parallelism with LLM execution threads
* Scoped reasoning = less drift, fewer errors
* Daily chat logs = source of truth for progress + traceability
* Natural path to automation of your AI engineering team

---

### ⚒️ Future Upgrade Ideas

* Auto-summarizer to pull all O3Pro + Claude Code updates into daily summary
* CLI to spin up new O3Pro chat + corresponding Claude task scaffold
* Chat-to-Git integration to push Claude's output as commits/PRs