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KNKarim Nassar
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Hands-on

LLM App & Prompt Review

Make your AI feature more accurate, cheaper and safer.

If you already have an AI feature (a chatbot, a document assistant, an internal tool) and the answers are inconsistent, slow or expensive, this session finds out why. Send me your prompts and a handful of bad examples beforehand; we go through them together.

What I look at

  • Prompt structure and instructions
  • How context is retrieved and what is missing
  • A small test set so improvements can be measured
  • Cost per request and easy savings
  • Guardrails for sensitive or off-topic questions

You receive written notes with the exact changes I would make, in priority order.

What you get

04
  1. 01

    45-minute one-to-one video call

    We go through your assistant live, with your real examples.

  2. 02

    Review of your prompts and up to 10 failure examples

    I find out why it answers wrong.

  3. 03

    Prioritised written fixes

    The changes that matter most, in order.

  4. 04

    A starter test set to measure improvements

    So you know a fix worked.

Who it’s for

03
  1. 01

    Developers and product owners shipping an AI feature

    A second pair of eyes before launch.

  2. 02

    Founders whose chatbot gives wrong answers

    Find the cause instead of guessing.

  3. 03

    Teams whose AI bill is growing faster than their usage

    Cut cost without cutting quality.

Row photos: cottonbro studio, Godfrey Atima, DS stories, ThisIsEngineering, kaboompics.com on Pexels.

Questions about this service

Can you look at my code?

I review prompts, configuration and the way data flows into the model. For a deeper code review, ask me about a custom engagement.

Do you sign an NDA?

Yes. Send me yours or I will send mine before you share anything sensitive.

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