# Power-Up #5: My AI Builder Workflow in 2026

This is my current AI builder system. Instead of relying on one tool for everything, I now use different AI tools for different stages of product development. This creates a workflow that feels like having a strategist, product manager, engineer, reviewer, and assistant working together.

![](https://cdn.hashnode.com/uploads/covers/56ee654dbcca2d711e191e2a/8fefb717-7928-49f6-9beb-625072ce1fb7.png align="center")

### Stage 1: Thinking & Exploration

I use ChatGPT as my general-purpose thinking partner. Best for:

*   exploring startup ideas
    
*   validating opportunities
    
*   brainstorming features
    
*   discussing tradeoffs
    
*   learning new domains
    
*   improving clarity
    

When an idea is still messy, ChatGPT helps turn noise into direction.

### Stage 2: Writing PRDs & Breaking Down Work

[Amp](https://blog.productsway.com/power-up-1-amp-opinionated-ai-that-fits-real-developer-workflows) is excellent when I need structured output. I use it for:

*   PRDs
    
*   feature specifications
    
*   task decomposition
    
*   implementation plans
    
*   converting ideas into execution steps
    

This is where vision becomes backlog.

### Stage 3: Build Loop

[Fireworks AI Fireworks + Kimi 2.5 Turbo](https://app.fireworks.ai/fire-pass)

This is my execution engine. I run coding loops using [OpenCode](https://blog.productsway.com/power-up-3-opencode-composable-ai-agents-for-real-coding-workflows) powered by Kimi 2.5 Turbo through Fireworks.

Best for:

*   implementing features
    
*   rapid iterations
    
*   refactoring
    
*   repo-wide changes
    
*   generating tests
    
*   debugging loops
    

Once tasks are clear, speed matters. This combo gives excellent value.

### Stage 4: Pull Request Drafting

After implementation, I use AI to help generate:

*   PR summaries
    
*   changelogs
    
*   migration notes
    
*   testing notes
    
*   reviewer context
    

Good PRs save team time.

### Stage 5: Review Layer

GitHub Copilot + AI Review Tools (CodeRabbit)

Now AI becomes reviewer. I use review tools for:

*   code smells
    
*   missing tests
    
*   risky changes
    
*   readability improvements
    
*   edge cases
    
*   regression checks
    

This reduces silly mistakes before humans spend time reviewing.

### Stage 6: Alternate Model Validation

Sometimes I ask another model to review the same change. Why?

*   Different models notice different things.
    
*   Two opinions are often better than one.
    

### My Actual Workflow

1.  Idea → ChatGPT
    
2.  PRD → Amp
    
3.  Tasks → break into chunks
    
4.  Code → OpenCode + Kimi Turbo
    
5.  Draft PR → AI-assisted
    
6.  Review → CodeRabbit
    
7.  Second opinion → alternate model
    
8.  Merge with confidence
    

### Biggest Lesson

Do not ask one AI tool to do everything. Use specialists.

*   Thinking AI
    
*   Writing AI
    
*   Coding AI
    
*   Review AI
    
*   Validation AI
    

That is where leverage happens.

### Why This Matters for AI Builders

This workflow lets one engineer operate like a small team:

*   PM
    
*   Developer
    
*   QA
    
*   Reviewer
    
*   Tech writer
    

That changes the game.

### Final Thought

The future is not one model.

The future is orchestrating multiple AI tools into one personal software factory.

That is my real power-up in 2026.