Don't buy software. Get the work done. GreatCTO ships AI autopilots that run a whole business function — medical coding, legal docs, procurement, accounting, IT, tax — from intake to outcome. A qualified human signs only the judgment calls. Live connectors, built-in compliance.
How to install great_cto?
avelikiy/great_cto
$git clone https://github.com/avelikiy/great_ctoInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Install great_cto by running `git clone https://github.com/avelikiy/great_cto`, then use it for the current task and follow its documentation at https://github.com/avelikiy/great_cto.
README.md
| 1 | <div align="center"> |
| 2 | |
| 3 | <img src="docs/screenshots/logo.svg" alt="great_cto" width="280" /> |
| 4 | |
| 5 | **AI Product Builder — describe a product, approve the spec, ship the software.** |
| 6 | |
| 7 | [](https://www.npmjs.com/package/great-cto) |
| 8 | [](https://www.npmjs.com/package/great-cto) |
| 9 | [](LICENSE) |
| 10 | [](https://claude.com/plugins) |
| 11 | [](https://openai.com/codex) |
| 12 | [](https://greatcto.systems/proof) |
| 13 | |
| 14 | ```bash |
| 15 | npx great-cto init |
| 16 | ``` |
| 17 | |
| 18 | [Website](https://greatcto.systems) · [One real run →](https://greatcto.systems/proof) · [Live demo](https://greatcto.systems/r/CsqYVXs1Vibac5yp) · [Discussions](https://github.com/avelikiy/great_cto/discussions) · [Changelog](CHANGELOG.md) |
| 19 | |
| 20 | [Русский](docs/ru/README.md) · [简体中文](docs/zh-CN/README.md) · [繁體中文](docs/zh-TW/README.md) · [日本語](docs/ja/README.md) · [한국어](docs/ko/README.md) · [Español](docs/es/README.md) · [Português](docs/pt-BR/README.md) · [Deutsch](docs/de/README.md) · [Français](docs/fr/README.md) |
| 21 | |
| 22 | </div> |
| 23 | |
| 24 | --- |
| 25 | |
| 26 | ## Build the product, not just the code |
| 27 | |
| 28 | **You describe the product. great_cto ships it.** Not a snippet, not a scaffold — a real, |
| 29 | deployed application with a backend, a frontend, generated tests, and a live URL. You make |
| 30 | exactly **one decision: approve the spec.** Everything after — architecture, data model, |
| 31 | build, review, deploy — runs unattended. That's the default for reversible work; an |
| 32 | irreversible change — a data-model migration, a payments or auth path, anything that |
| 33 | deletes data — opens additional gates on purpose, because "one decision" should mean |
| 34 | low-risk, not unsupervised. |
| 35 | |
| 36 | It's an **AI Product Builder**, not another coding-agent loop. The orchestration layer *above* |
| 37 | the coding agent you already use: a team of specialist agents that plan, build, review, and |
| 38 | gate the work — so one person ships like an engineering org. |
| 39 | |
| 40 | > **One real feature: idea → merged PR in `1h 26m` for `$3.40` in LLM cost.** The traditional |
| 41 | > path for the same feature was ~170 hours and ~$42K. [See the full trace →](https://greatcto.systems/proof) |
| 42 | |
| 43 | It builds across 15 US industries — home & field services, professional services, |
| 44 | retail/e-commerce, proptech, fitness, marketing & creator, HR/recruiting, construction, |
| 45 | logistics, restaurants, and the regulated verticals allied health, dental, insurance, accounting |
| 46 | & tax and law firms — which collapse into **6 reusable build pipelines** (CRUD vertical-SaaS, |
| 47 | booking, CRM, dashboard, marketplace, content/media). One command ships any of **60 products**. |
| 48 | See [docs/strategy/BUILD-PIPELINES.md](docs/strategy/BUILD-PIPELINES.md). |
| 49 | |
| 50 | ``` |
| 51 | describe a product |
| 52 | │ |
| 53 | spec synthesis ── architecture · data model · screens (automated) |
| 54 | ▼ |
| 55 | 👤 CTO gate — approve the spec ← the one human checkpoint |
| 56 | │ |
| 57 | scaffold → backend → frontend → integrate → test → deploy (automated) |
| 58 | ▼ |
| 59 | shipped product · repo · live URL |
| 60 | ``` |
| 61 | |
| 62 | CI and generated tests are the quality gate — you sign the **direction**, not every line. |
| 63 | |
| 64 | ## Under the hood (for the CTO who runs it) |
| 65 | |
| 66 | → *The builder-facing story of this surface: [greatcto.systems/build](https://greatcto.systems/build)* |
| 67 | |
| 68 | Every product is built by a pipeline of specialist agents — architect, design-advisor, senior-dev, |
| 69 | QA, security-officer, devops — that runs spec → scaffold → backend → frontend → tests → deploy. |
| 70 | **You make one decision: approve the spec.** Everything after is automated. The pipeline is |
| 71 | risk-tiered — a maintenance fix opens no gate (CI is the gate), a reversible feature opens only the |
| 72 | plan gate, and an irreversible change forces the full set — so ceremony scales with blast radius, |
| 73 | not with paperwork. CI, the build's own generated tests, and a **cross-model review** (a different |
| 74 | model family red-teams the diff, so review isn't blind to its own author's mistakes) are the quality |
| 75 | gate that makes it safe to let the pipeline run to deploy. And approving the spec isn't a one-way |
| 76 | door — if a structural spec error surfaces mid-build, any agent can raise an objection that re-opens |
| 77 | the gate, so a long build is recoverable, not finish-bad-or-restart. |
| 78 | |
| 79 | **One gate, where it matters.** Build steps are risk-tiered: a reversible change builds and ships |
| 80 | behind CI; an irreversible one — a production deploy, a schema migration, a new write-capable |
| 81 | integration — escalates to the CTO gate and the frontier model before it runs. You sign the spec |
| 82 | and the high-blast-radius calls; the rest runs straight through, enforced in code, not just policy. |
| 83 | |
| 84 | ## By the numbers |
| 85 | |
| 86 | | | | |
| 87 | |---|---| |
| 88 | | One feature, end to end (real run, fully traced) | **1h 26m |
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