What We Deliver
System Prompt Audit & Redesign
We review your existing system prompts, identify failure modes and edge cases, and rewrite them using proven prompt engineering patterns — chain-of-thought, few-shot examples, role definition, output constraints.
Prompt Testing & Evaluation
We build automated evaluation suites that test your prompts against hundreds of real-world inputs — measuring accuracy, consistency, safety, and cost per query before any prompt goes to production.
RAG Pipeline Optimisation
Retrieval-Augmented Generation systems often degrade because the retrieval is poor, not the generation. We audit your chunking strategy, embedding model, retrieval logic, and prompt construction to maximise accuracy.
AI Cost Optimisation
Poorly designed prompts waste tokens. We redesign your AI pipeline to use the most cost-effective model for each task — routing simple queries to cheaper models while reserving frontier models for complex ones.
AI Feature Architecture Review
A senior-level review of your entire AI feature architecture — model selection, context management, output parsing, error handling, and monitoring — with a detailed remediation report.
Prompt Library & Documentation
A complete, version-controlled library of your production prompts with documentation, test cases, and change management guidelines — so your team can maintain and improve prompts confidently.
Common Problems We Fix
Hallucinations & Inaccuracies
AI giving wrong answers confidently. We identify the root cause — missing context, poor retrieval, inadequate output constraints — and fix it systematically.
Inconsistent Output Format
AI returning different formats on different runs, breaking downstream parsing. We implement strict output schemas with validation and retry logic.
Off-Brand or Unsafe Responses
AI going off-topic, using wrong tone, or occasionally producing inappropriate content. We implement guardrails, persona anchoring, and input/output filtering.
High Token Costs
AI features consuming 10× more tokens than necessary. We compress prompts, implement caching, and route queries to cost-appropriate models.
Our Process
Diagnostic Audit (Week 1)
We run your existing prompts through a structured evaluation framework — identifying failure modes, inconsistencies, and quick wins within the first week.
Redesign & Testing (Weeks 2–3)
We redesign the problem areas, build an automated test suite, and run A/B comparisons between old and new prompts — with measurable quality metrics.
Deployment & Monitoring
Prompts deployed with logging, quality monitoring, and drift detection — so you know immediately if output quality degrades after deployment.
Team Training
A practical workshop for your engineering and product team on prompt engineering best practices — so they can maintain and extend the system independently.