Prompt Engineering & LLM Optimization

If your product already has an AI feature that is inconsistent, expensive or slow, this is the fix. I audit your existing prompts, redesign system prompts with clear roles, constraints and few-shot examples, and enforce structured outputs through JSON mode and tool schemas so downstream code stops breaking on malformed responses.

Changes are proven, not eyeballed. I build a lightweight eval harness from your real inputs and score every prompt revision against it, so you see before-and-after numbers for accuracy, format compliance and refusal rate. The same harness drives model selection - GPT versus Claude versus open-weight models - and cost and latency optimization, because the right prompt on a smaller model often beats a lazy prompt on the flagship at a fraction of the dirham cost.

For Dubai, Sharjah and Abu Dhabi products serving bilingual users I also handle Arabic prompt nuances - dialect versus Modern Standard Arabic, right-to-left formatting in outputs, and instructions that survive translation. A focused prompt audit with rewritten prompts and eval results is delivered in 3 working days from AED 800.

How it works

1. 1
   Send your prompts and samples

   You share current prompts plus 30 to 50 real input examples, including the failures that annoy you most.

2. 2
   Audit and baseline

   I score the existing setup on an eval harness built from your samples, so improvements are measured against a real baseline.

3. 3
   Rewrite and re-score

   Prompts are redesigned and every revision is run through the harness until the metrics clearly beat the baseline.

4. 4
   Deliver and walk through

   You receive the new prompts, the harness, the model memo and a call explaining exactly what changed and why.