Dedicated full-time
Owns every OpenAI integration in your product, including prompts, costs and model upgrades.
Taking on new projects · We reply within 24 hours on business days
Dedicated OpenAI integration engineers
Want ChatGPT-style features inside your own product, using the OpenAI API with your data, your login and your limits? DayDecoder hires OpenAI integration developers from Ahmedabad, India who have added GPT features to Laravel, Vue, React and mobile products, with retries, cost caps and overlap hours for the US, UK, Europe and Australia.
ChatGPT is the app; the OpenAI API is what we build with. The work is integration: auth, data, limits, errors and a good interface.
OpenAI appears in the stack of several projects on this site. The WhatsApp marketing SaaS uses OpenAI-assisted replies alongside chatbot flows. The AI customer support assistant generates ticket summaries and suggested replies on Laravel, Vue and PostgreSQL. The document intelligence platform combines OCR with OpenAI for extraction and classification. The AI SaaS platform and the AI SEO content planning tool use OpenAI for content and planning features. Our article on how to integrate AI into a Laravel or Node.js app describes the approach in detail.
An OpenAI hire treats the API like a payment gateway: a dependency that can be slow, fail or change. Calls run in queued jobs with timeouts and retries, responses are validated before they reach users, keys stay in your account, and costs are tracked per customer. When Claude or another provider fits better, the integration is written so the model can be swapped.
Assistants, summaries, drafting and extraction inside your existing screens, using your users and permissions.
JSON responses validated against a schema, so the rest of your code can trust the shape of the result.
Queued calls, streaming where it helps, timeouts, retries and a fallback when the API is unavailable.
Per-customer limits, caching, moderation where needed and logs your team can review.
Skills and tool stack
The OpenAI API inside the frameworks we use every day.
Typical work uses the OpenAI chat, embeddings and tool-calling APIs from Laravel or Node.js workers, streams responses to React, Vue or React Native interfaces, stores prompts and results in your database, and uses Redis for rate limits and caching. Claude is used where the product already has it or where it fits better.
Engagement models
One feature can be a short project; an AI roadmap usually wants a steady owner.
Owns every OpenAI integration in your product, including prompts, costs and model upgrades.
Reserved days each week to add GPT features one at a time beside your team.
A failing integration, a cost spike or a model upgrade that changed behaviour. Time-logged.
Hiring process
We decide what the feature must never do before writing the prompt.
Thirty minutes with the founder about the feature, your data and acceptable cost.
Dedicated, part-time or hourly, and the first feature with its limits.
An OpenAI project key in your account with spending limits, plus repository access under NDA.
One integration end to end in staging, with logs, limits and test prompts.
Behaviour on the same test prompts, the week’s cost and next steps, in your overlap hours.
We work from Ahmedabad, India. Afternoons overlap with the UK and Europe, early mornings or late evenings with the US, and mornings with Australia. Prompt changes are reviewed with your team before release.
Model upgrades are tested against your saved prompts in staging first, so a provider update does not surprise your users.
Morning updates waiting in your inbox when the US workday starts.
Same-day overlap for calls, reviews, and decisions.
Afternoon overlap with Central and Eastern European teams.
Early-morning calls that fit the Australian workday.
OpenAI already in production across our public projects, built by engineers who own the whole application.
WhatsApp, support, document and content products on this site use the OpenAI API.
Queues, retries, validation and cost tracking, the same as any other external service.
The integration is written so Claude or another model can be used when it fits better.
Keys, prompts and code stay in your accounts. Your data is not used for other clients.
Relevant work
Case studies and projects whose stack lists OpenAI. Client names stay confidential.
A multi-tenant SaaS that lets businesses run WhatsApp marketing and support from one console: template campaigns, a shared team inbox, contact management, chatbot flows and AI-assisted replies, sold on subscription plans.
A technical guide on how to integrate AI features (OpenAI, Anthropic) into existing Laravel and Node.js SaaS products using vector databases and background queues.
A practical security checklist for Laravel web applications, focusing on input validation, secure admin routes, and protecting sensitive credentials.
How to safely structure a multi-tenant Laravel SaaS application, covering data isolation with global scopes, team-based billing, and role-based access control.
FAQ
Straight answers on the stack, ownership and time zones. Email us if yours is missing.
Let's talk
Tell us what you are building. You will get honest advice on whether you need a dedicated hire, part-time capacity, or a scoped build.
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