466 developers build on it · $249 once · lifetime updates · 30-day refund

    AnotherWrapper

    How do I build a GPT wrapper?

    Build a GPT wrapper the way a customer would actually pay you

    A streaming hello-world is an afternoon. A product with accounts, credits, and a job people finish is the rest of the month — unless you fork one that already exists.

    466 founders shipping on it · $249 once · 30-day refund

    Direct answer

    To build a GPT wrapper, pick one narrow job, pick a model you have evaluated, put the API call in a server-side route, then add auth, persistence, usage metering, billing, and safety before you ship. That is the product. You can also fork one of AnotherWrapper’s eight finished AI apps and start at the workflow instead of the webhook — $249 once, with the agent harness and a launch plan.

    Pick a narrow job, then a model

    Start with a user and an outcome, not a model. “An AI app for marketers” is not a product. “Turn one brief into five on-brand ad concepts they can edit and export” is closer.

    Write a small evaluation set from real inputs. Score outputs on what the customer cares about: accuracy, format, edits required, latency, cost. Do this before you marry a provider. The leaderboard winner is often the wrong model for your job.

    You almost never need to train anything. Hosted APIs are the default. Fine-tune only when the eval says a general model cannot hit quality, privacy, or cost.

    Server-side route, auth, and saved work

    Put the model call in a Next.js route handler or server action. Keep keys on the server. Validate the user, the input, and remaining allowance before you spend tokens.

    Accounts are not a later feature. Every project, upload, and generation needs an owner. Hiding a button is not access control — the check belongs next to the server operation.

    Save what makes the product better next time: inputs, model and prompt version, job status, the result, usage, errors, and accepted edits. Do not keep sensitive input “just in case.”

    Meter usage, bill, then add safety

    AI products have variable cost. Record an immutable usage event for every billable call: who, which feature, which model, units, estimated cost, status. Reserve allowance before an expensive request. Make webhooks idempotent so a retry cannot grant credits twice.

    A flat subscription works when usage is predictable. Credits are safer when one customer can consume ten times another. Price the outcome. Meter the cost.

    Then handle the unhappy path: timeouts, refusals, schema misses, a closed tab, a delayed webhook, empty credits mid-job. Enforce limits at the server. Never let a model response silently take a high-impact action.

    Ship — or fork one of the eight

    Launch to a tiny group. The goal is not traffic. It is evidence that people complete the job, value the result, and come back. Watch where they abandon, what each success costs, and how much they still edit.

    You can build every layer above from a blank Next.js repo. That is a month of plumbing you will not get paid for.

    AnotherWrapper is eight finished AI apps on one foundation — chat, image, video, voice, vision, transcription, structured docs, a launch simulator — plus the agent harness and the two-week plan. Fork the closest one. $249 once. Start at the job, not the Stripe webhook.

    The checklist is the same every time.

    Accounts, a metered model call, a paywall, a place to store the work. Building that from zero is honest work and a slow way to test the idea. Forking an app that already does it is a weekend. That is the only reason this page exists after the steps.

    The steps are not the hard part. Starting from zero is.

    Fork the closest of the eight apps. Better Auth, Drizzle, credits, and the agent pack are already there. $249 once — start at the job, not the Stripe webhook.

    • The foundation is a full Next.js SaaS kit — auth, database, payments, analytics, email. Use it for any product. The eight apps are extra.
    • Better Auth — OAuth, magic links, requireUser() on every server boundary. Drizzle + Postgres. Any Postgres host. Not locked to one vendor.
    • Stripe, Polar and LemonSqueezy. Credits and a paywall gate.
    • PostHog, Plausible or DataFast — one env switch. Loops, Resend or Brevo — one env switch. Sentry.
    • AGENTS.md + CLAUDE.md, architecture docs, .env locked in settings, sixty slash commands, Fork-It prompts, security and payment review skills
    • 8 finished apps: chat, image, video, voice, transcription, vision, marketing plan, launch simulator
    • Seven provider SDKs + ElevenLabs, streaming, tool calling, one model registry

    $249 today · lifetime updates · 30-day refund

    You probably have a question or two

    These are the ones people type into ChatGPT. If yours is not here, email me.

    Worst case it costs you nothing. 30-day refund.

    Open the repo. If it is not the job, email me inside 30 days. The licence is $249 once — not a subscription, not a tax on using Next.js.

    $249 once · lifetime updates · 30-day refund

    P.S. If you scrolled straight here, and I do that too, here is the whole thing. A private GitHub repo with 8 finished AI apps in it, the auth, payments, model and RAG layers underneath them, the Agent Command Pack that stops your agent wrecking any of it, and the three bonuses above. $14,000 of finished work, for $249 once.

    Nothing to cancel and nothing to renew. Read it, and if it is not what I just described, you have 30 days to say so and get every dollar back.

    And the reason to do it tonight rather than next month is the one I opened with: you are already paying $100–$200 a month to an agent that keeps rebuilding this foundation for you. Wait a month and you buy it again.

    Fekri, AnotherWrapper

    Buying for a team? Startup and Agency licences from $549

    Want to click around first? All 8 are running at app.anotherwrapper.com

    Would rather not build it at all? BuildFound builds it with you

    Not buying today

    Then take the free scan and go and check the app you already have.

    One prompt you paste into Claude Code, Codex or Cursor. It reads your repo and checks it against the seven failures above, then tells you which ones you have, with file names and line numbers. Most people find at least two.

    The scan is yours to keep. After that I send what I am building and what I learn shipping it, so new prompts and new playbooks. Unsubscribe in one click.

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