An engineer who has shipped GPT-4 features, working your hours, inside your repo.
A logistics startup in Ohio had built a customer support tool that answered questions well in a demo, then started inventing return policies the moment real customers used it. Their two backend engineers knew Node.js cold, but neither had worked with the OpenAI API, embeddings, or the retrieval patterns that keep a model honest. They needed someone who had already made those mistakes and fixed them, working inside their codebase rather than handing back a slide deck.
Tell us what you need. We will match you within 48 hours.
Trusted by companies across the USA
We connect GPT-4 to your own data using retrieval so answers come from your documents, not the model's guesses. That single change is usually the difference between a demo and something you trust with customers.
We test prompts against real edge cases and version them, so a tweak for one use case does not quietly break another. You get a record of what changed and why.
We track token usage per feature and cache where it makes sense, so your bill does not balloon as traffic grows. Small prompt and model choices add up fast at scale.
The developer wires OpenAI calls into your Python or Node.js backend with retries, rate-limit handling, and logging you can actually read when something goes wrong at 2 a.m.
We build a test set of real questions and expected answers, so you can measure whether a model change helped or hurt before it ships, not after a customer complains.
When the model is unsure, the assistant says so or escalates to a human, instead of confidently making something up. Deciding when not to answer is half the job.
The developer who starts is the developer who stays. We do not rotate people off your project once you are settled, and you are never handed a junior as a quiet swap to free up the senior you interviewed.
Every line of code, every prompt, and every embedding pipeline belongs to you from the first commit. There is nothing to buy back later and no license that reverts to us.
Your developer works a schedule with several hours of daily overlap with US business hours, so you can pair, review pull requests, and hop on a call the same day instead of waiting overnight for a reply.
We sign an NDA and a contract before anyone touches your repository or sees your data. Your access and IP terms are settled in writing first, which matters more when the work involves your customers' information.
If the developer is not the right fit, tell us. We will find a replacement and manage the handover, including a documented context transfer so you do not start from zero or lose a week to ramp-up.
You get a written update every week covering what shipped, what is in progress, and what is blocked. No chasing anyone for status, and no surprises at the end of the month.
One developer focused on your work, joining your standups and treating your backlog as their only priority.
Half a developer's month for a feature that needs steady progress but not a full-time seat yet.
Pay for the time spent, logged and visible, with hours scaling up during a push and down afterward.
Several developers when one assistant grows into a product, coordinated under one point of contact.
Transparent pricing. No hidden fees.
From first contact to your developer writing code — here is how it works.
Get StartedWe start with a call about the problem you are solving, not a sales pitch. You walk us through the feature you want, the data it touches, and where things stand today. By the end we can tell you honestly whether a ChatGPT developer is the right hire or whether you need something else entirely.
We pick a developer whose actual experience matches your stack and your use case, then you interview them yourself. You see their background and talk through how they would approach your problem before any commitment. If the match feels off, we go back and find a better one rather than talking you into the first option.
The first week is about context, not output. Your developer gets into your repository, reads your existing code, and maps how data flows through your system before writing much of their own. You will see early questions and a short summary of what they have understood, so you can correct course immediately.
We turn your goals into a concrete first sprint with clear, reviewable tasks. You agree on what ships first, usually a small slice of the assistant working from start to finish against real data. This gives you something to react to within the first couple of weeks instead of a long silence.
From there you get a steady rhythm: daily availability during your hours, code in pull requests you review, and a written weekly summary. The developer joins your standups and uses your Slack and project board like any other member of the team. You stay in control of priorities the whole way through.
Talk to us about your use case and we will match you with a ChatGPT developer who can start inside your team within days, not months.
Describe your project and requirements.