Meta Prompting Brain™
The planning engine
Analyzes developer requests and produces a structured build plan.
Read about Brain
Private MVP Testing
Your AI Development Team
Describe a feature. Meta Prompting designs it, builds it, reviews it, and delivers the code.
No complex prompts. Just explain what you want.
Brain™
Plans the feature
Turns your request into a clear implementation plan.
Flow™
Builds the code
Runs the build steps in the right order from start to finish.
Repo™
Keeps it safe
Checks the repository before changes are made or shipped.
Feature Request
Idea in. Feature out.
Plain English
“Create a shopping list where users can add and tick off items.”
Audit Agent
Reads the repo
→
Builder Agent
Writes the feature
→
Reviewer Agent
Checks the work
→
Completed Feature
Working code delivered
What You Get
A working feature built through a visible workflow
Plan
Implementation steps generated automatically
Delivery
Reviewed code ready for your repository
Three Engines
Three Engines. One Development Platform.
Meta Prompting combines planning, execution, and repository intelligence so developers can move from request to safe build flow with one connected system.
Meta Prompting Flow™
The execution engine
Executes controlled workflows that generate changes safely.
Read about FlowMeta Prompting Repo™
The repository intelligence engine
Understands repository state and ensures builds happen in the correct environment.
Read about RepoBuilt for real engineering workflows
Designed for teams shipping with Laravel, React, Vue, TypeScript, and modern GitHub review workflows.
Laravel
React
Vue
TypeScript
GitHub PRs
Comparison
More Than an AI Coding Assistant
Most AI tools help with isolated code tasks. Meta Prompting helps you move an entire feature from request to reviewed implementation.
Typical AI Coding Tools
Helpful for code tasks
•
Autocomplete code
•
Answer coding questions
•
Generate snippets
Meta Prompting
Builds the feature with you
✓
Builds full features
✓
Understands your repository
✓
Generates controllers, models, and UI
✓
Reviews the implementation
✓
Manages the build workflow
How It Works
How Meta Prompting Works
Describe what you want. Meta Prompting turns that idea into a built feature you can review and ship.
Step 1
Describe the Feature
Tell Meta Prompting what you want to build in plain English.
Example
“Create a shopping list where users can add and complete items.”
Step 2
Your AI Dev Team Builds It
AI agents analyse your project, write the code, and implement the feature.
Pipeline
Audit
→
Build
→
Review
Step 3
Review and Ship
Inspect the result, approve the implementation, and merge the feature into your project.
Outcome
From idea to working feature, with a clear review step before anything ships.
Feature Build Workflow
From Idea to Feature in Minutes
User Prompt
“Build a shopping list where users can add and complete items.”
1
Audit Agent
Analyses repository structure and dependencies.
2
Builder Agent
Writes controllers, models, routes, and UI.
3
Reviewer Agent
Validates the implementation and checks for errors.
4
Completed Feature
Code integrated into the project.
Feature Build Workflow
A clear path from request to working code
Meta Prompting turns a plain-English request into a structured build process, so you can see how the idea moves through analysis, implementation, and review.
See the work unfold step by step
Audit, build, and review stay visible instead of feeling like a black box.
Specialist agents handle the right jobs
Each stage has a focused role, from repository analysis to implementation and validation.
Ship with confidence
The result is reviewed before it becomes a completed feature in your project.
Features
Everything needed to move from brief to branch with less friction
Workflow templates
Start from proven Laravel, Node, or Python workflow structures and adapt from there.
GitHub branch-per-run
Keep `main` untouched while every run works on its own isolated branch.
Manual and assisted execution
Generate output, review it, write files, and still keep the user in control of step completion.
Structured review loops
Route changes back to the exact step that needs another pass with clear change requests.
Run timeline visibility
See the current phase, completed steps, locked steps, audit context, and reviewer state in one timeline.
Wireframe-aware builds
Attach sketches, screenshots, or PDFs to runs so frontend work starts with clearer visual direction.
FAQ
Common questions before your first run
What does Meta Prompting actually do?
It turns a feature brief into a tracked workflow run where audit, implementation, review, and pull request creation happen in one visible system.
Do runs touch main directly?
No. Each run works on its own GitHub branch so changes stay isolated and reviewable before merge.
Can I still review and control the output?
Yes. Meta Prompting keeps the workflow visible so your team can review generated work, rerun specific steps, and approve the final pull request.
Ready to start
Give your next feature a workflow, not just a prompt.
Set up your agents, describe the work once, and let Meta Prompting move it through implementation and review.