Adding an LLM feature is easy to demo and hard to ship: streaming, error handling, rate limits and runaway token costs all need to be right. We build the OpenAI or Claude feature directly into your app with proper error handling, usage limits and cost control, then hand over working code and notes.
Is this your problem?
You want AI features in your product — summaries, chat, classification, generation — but only have a prototype.
Your LLM calls time out, fail randomly or return output your app cannot use.
You are worried about token costs growing with every new user.
Your team does not have time to learn the API details properly.
Why this happens
Calling an LLM API takes a few lines of code; shipping it takes much more. Production features need streaming for a good user experience, retries and fallbacks for rate limits and outages, structured outputs your code can parse, and limits that stop one user or one bug from running up a large bill. Prototypes usually skip all of these.
What we do
Agree the feature — inputs, outputs and where it appears in your app.
Choose the model — OpenAI, Claude or another provider — based on quality and cost.
Implement the feature with streaming and structured outputs where needed.
Handle failure — timeouts, rate limits, retries and fallbacks.
Control cost — per-user limits, caching and token budgets.
What you get
Working AI feature inside your app
Source code committed to your repository
Notes on configuration, limits and expected cost per request
What we need from you
Access to your repository
A description of the feature you want
An API key for your chosen provider (or we help you set one up)
Common cases we handle
Chat assistants, summarisation and content generation
Classification, tagging and data extraction with structured JSON output
Next.js, React, Node.js, Python, Django and FastAPI apps
OpenAI, Anthropic Claude, Google Gemini and Azure OpenAI
Pricing and turnaround
Starting price | From $79 |
Delivery | Typically 48h |
Priority delivery | 12h for +50% |
Includes | Scope check, the work, deliverables and handover notes |
Every task gets a fixed price, confirmed after the free scope check. Your code and data are used only for this task, and we sign an NDA on request.
How it works
Submit your task. Tell us what you need and share the files or access listed above.
Free 30-minute scope check. An engineer confirms the scope and gives you a fixed price before any work starts.
We do the work. Your task is handled by Codersarts' own engineering team — not a freelancer marketplace.
Delivery and handover. You get the deliverables, a walkthrough of what changed, and time to ask questions.
Related tasks
Build AI Agent Workflow — if the feature needs to take multi-step actions.
Fix RAG Answer Quality — if the feature answers from your documents.
AI-Generated Code Review — to check AI-generated code before it ships.
Need more than a single task?
For a full AI product or platform, see Codersarts Build Solutions.
FAQ
How much does OpenAI or Claude API integration cost?
From $79 for a Standard Task. The fixed price is confirmed after a free 30-minute scope check.
How long does it take?
Typically 48 hours. Priority 12-hour delivery is available for +50%.
Should I use OpenAI or Claude?
It depends on the feature, quality needs and budget. We recommend one during the scope check and can make the provider easy to switch later.
Can you keep API costs under control?
Yes. Every integration includes limits and, where useful, caching so costs stay predictable.
Is my code confidential?
Yes. Access is used only for this task, and we sign an NDA on request.
Prefer to learn it yourself? Explore hands-on courses at Codersarts Labs.