Turn any idea into a live product.

You describe a product idea in plain language, review a blueprint of what will be built and what it will cost in credits, and then the platform builds it: AI writes the code, pushes it to a GitHub repository in your account, and deploys it to Render so you get a live URL. It orchestrates the services a real product needs — GitHub for code, Render for hosting, Supabase for data and accounts, Resend for email, Spaceship for domains, and OpenAI or Anthropic for AI features — all in accounts you own. From then on, you evolve the product with plain-language change requests.

You do, fully. The GitHub repository is created in your own account and you have complete admin rights over it. The Render services run in your Render workspace, the database lives in your Supabase or Render account, and your domain sits at your registrar. Idea to Life connects to these via authorizations you can revoke at any time — for GitHub, in Settings then Applications on github.com — and revoking access never deletes your code or takes your site down. There is no export step for code because the canonical copy has been in your account since the first commit.

No. You describe what you want in ordinary language, approve a blueprint, and the platform handles the code, the infrastructure, and the deployment. After launch, changes are also made in plain language. Technical details are always visible if you want them — the code is readable in your repository and every setting is inspectable in your own dashboards — and if you later bring in a developer, they can work on the project like any standard Next.js codebase. But none of that is required to build, launch, and run a product.

In the current version: landing pages, business and brochure sites, booking systems, directories and listings, dashboards, simple SaaS products, customer portals, and installable PWAs — products built from pages, forms, data, user accounts, email, and AI features. We are honest about the boundary: it is not an instant fit for every kind of software. Native mobile apps, real-time multiplayer systems, heavy data processing, or products whose core is a novel algorithm need traditional engineering. If your idea is outside what can be built well, the blueprint stage will say so rather than pretend otherwise.

Credits pay for the work the platform performs: AI token usage (the models that write your blueprint and code) and build compute. Every build and change request shows an estimated credit cost before you approve it — nothing is charged until you confirm, and your usage history shows what was actually consumed. Credits do not cover the third-party services you connect: Render hosting, Supabase, and domain registration have their own free tiers and paid prices, billed directly to you by those providers with no markup from us. Your blueprint flags in advance whether the plan requires paid third-party resources, because deployment is not always free and we will not tell you it is.

Yes — bring your own keys (BYOK) is fully supported. You can add your own OpenAI key (starts with sk-, created at platform.openai.com) and Anthropic key (starts with sk-ant-, from console.anthropic.com), plus your own Render, Supabase, and Resend credentials. With your own AI keys, your product's runtime AI features are billed by the provider directly to you at their prices, with full visibility in the provider's dashboard, and you can set your own spending limits there. Every key you store is encrypted at rest, shown only in masked form after saving, and never sent to your browser — decryption happens server-side at the moment of use.

Most failures never reach you: when a build hits an error, an automatic repair loop reads the error, fixes the code, and retries, up to a retry limit. Those attempts are part of normal builds and are factored into estimates. If the retry limit is exhausted and the build cannot deliver a working deployment, it stops, you see the final error explained in plain language, and the credits side is handled fairly rather than charging full price for nothing — the failure screen states exactly how your balance was affected. A failed deploy also never takes down an already-live version: Render keeps serving the last healthy deployment.

Yes — that is the normal way products live here. You submit change requests in plain language: "add a testimonials section", "send customers a reminder email the day before their appointment", "make the booking button more prominent". Each request shows an estimated credit cost before anything runs, and on approval the change is implemented, committed to your GitHub repository as a readable commit, verified, and deployed. If you dislike a change once you see it live, you can roll back or request a targeted undo. And because the code is a standard project in your own repository, you or a developer can also edit it directly at any time.