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Hussain C

04Service

LLM & ChatGPT integration

GPT and Claude inside your product, answering from your data, with guardrails you can explain to legal.

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The short answer

Updated

LLM integration means putting a model like GPT or Claude inside your product or internal tools, so it can draft, summarise, classify or answer with your data and your permissions. I build these features with guardrails and a test set, usually in 3 to 6 weeks for $6k to $25k.

Typical budget
$6k to $25k
Timeline
3 to 6 weeks to production
How it's quoted
You get a fixed quote after the first call. Model and hosting costs are separate.

Put a language model in your product without the surprises.

Connecting to an LLM API takes an afternoon. Making it answer from your data, refuse what it should refuse, stay within budget and behave the same next month takes real engineering.

I've built ChatGPT-based assistants for clients since the API became usable for business. The pattern that works: ground answers in your own content, give the model a few well-defined actions, and test every change against questions your users actually ask.

A good fit if

What you get

How a project runs

  1. Week 1

    Audit

    What content exists, who should see what, and the twenty questions users ask most.

  2. Weeks 2 to 3

    Prototype on real data

    A working version on your actual content, tested with a few internal users.

  3. Weeks 4 to 6

    Production

    Auth, rate limits, monitoring and the release itself. Then we watch real usage.

  4. Ongoing

    Tune

    Prompt, retrieval and model changes, each tested against the eval set before it ships.

Questions people ask

Is our data used to train the model?

Not through the business APIs I use. Your data is sent to answer a request and isn't used for training by default. I document exactly what leaves your systems.

Can it run on our own servers?

Yes, if privacy rules require it. Open-weight models can run in your cloud account. They cost more to operate and are a bit less capable, so we decide based on what the data actually needs.

How do you stop it making things up?

It answers only from retrieved sources, cites them, and says when it doesn't know. We test for this specifically before launch.

What does it cost to run?

It depends on volume and model choice. You get an estimate per thousand conversations during the audit, before any build starts.

How much does an LLM integration cost to build?

Usually $6k to $25k. One feature on content that's already clean sits at the low end. Several features, strict permissions or messy data push it up. You get a fixed quote after the first call.

How long does it take?

3 to 6 weeks to production. A prototype on your real data comes first, in about two weeks, so you can judge it before the production work starts.

What do you need from us to start?

Access to the content or system the model should use, the questions or tasks your users bring most, and a person who can say whether an answer is right.

Further reading

Related services

Contact

Tell me what you're trying to fix.

I read every message myself and usually reply the same day. A rough idea is enough to start.

Or send a short brief

Hours

Your hours work for me.

  • San Francisco

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  • New York

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  • London

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  • Berlin

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  • Dubai

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  • Singapore

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  • Sydney

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  • Surat

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    Me

I keep flexible hours and move my day to overlap with yours, whether that's a morning standup in New York or a late release in Sydney.