Not an AI assistant.
An AI consultancy firm.
Describe what to build. A team of specialized agents interviews you to pin down the problem, designs the system high- and low-level, decomposes it into tasks, writes the code in parallel, reviews it independently, runs the tests, and merges a working pull request — while you stay the CEO.
Runs on the models and clouds you already trust
Watch a request move through the multi-chain
Every build is a chain of independent model calls — each agent has its own prompt, its own model, and its own git branch. Work flows link to link until it's verified and merged.
feat/auth-ui → reviewedfeat/projects-api → reviewedchore/deploy → reviewedmain — merged, conflicts resolved ✓Pull request shipped
✓ deployed · https://your-app.run.appFive bots. Five jobs. One shipped product.
Each agent runs as its own process with its own model and system prompt — so the bot that reviews the code is genuinely independent from the bot that wrote it. Chen owns backend and infra; Bob owns frontend and GitHub — and what lands on main. Click any teammate to hear what they do.
Alex — Director
Turns your idea into a project and a plan. Sets direction, never writes code.
controls · planning Click to meet →Jordan — Product Manager
Owns the PRD, design spec and acceptance criteria the build is graded against.
controls · product & specs Click to meet →Chen — Backend & Infra
Owns the backend and infrastructure — APIs, data pipelines, databases, and cloud. Builds on parallel git branches; Bob reviews and merges.
controls · backend · infra Click to meet →Priya — QA / Reviewer
Adversarially audits every diff. Rejected work loops back with feedback in context.
controls · review & tests Click to meet →Bob — Senior Engineer
Controls the frontend and GitHub — UI architecture, branches, every merge, conflict resolution, repo health, and firm memory. Owns main.
controls · frontend · github Click to meet →One firm. Every model. Any cloud.
A single routing layer dispatches each agent to the best model for its seat — and runs on the cloud you deploy to. Swap a model live; the rest of the firm never notices.
AWS
Google Cloud
AzureA single assistant guesses. A firm finishes.
| Capability | Single AI assistant | BuilderBots |
|---|---|---|
| Code review | Checks its own work | Independent, cross-model reviewer |
| "Done" means | Self-certified, often false | Tests + lint + build + review pass |
| Concurrency | One thing at a time | Parallel subtasks on real git branches |
| Memory | Forgets between sessions | Persistent tasks, decisions & cost |
| Cost control | None | Hard caps + kill switch, per task/day |
| Models | Locked to one vendor | 20+ models, swap per agent live |
Verified, never "claimed"
A task only closes when the database proves tests, lint and build all passed. No false "all done."
Budgets & kill switch
Per-task, per-project and daily spend ceilings, checked at every phase. No 3 a.m. runaway loop.
Your work stays yours
Each project runs in an isolated workspace with tenant-locked data. You see your projects; no one else does.
Tell it what to build.
Get a tested PR back.
Spin up your firm in minutes. Watch the agents work in a live office.