Context & Prompt Engineering

Systematic prompt design that turns unreliable AI outputs into consistent, production-grade results. We build, test, and manage prompt systems. with A/B testing, context window optimisation, version control, and cost optimisation built in.

Typical delivery: 2–4 weeks. Fixed price, locked in before work starts.

50%+

improvement in output quality is typical when moving from ad-hoc prompts to systematically engineered prompt systems.

— Anthropic Research
Capabilities

Prompts as production infrastructure

Systematic Prompt Design

We design prompts using structured frameworks: not guesswork. Role definitions, task decomposition, output formatting, and constraint specification.

A/B Testing & Evaluation

Rigorous testing of prompt variants against your quality metrics. We measure accuracy, consistency, latency, and cost to find the optimal configuration.

Context Window Optimisation

Strategic use of context windows. deciding what information to include, how to structure it, and when to use retrieval versus in-context learning.

Production Prompt Management

Version-controlled prompt libraries with testing pipelines. Change a prompt with confidence. knowing it's been validated against your evaluation suite.

Cost Optimisation

Reduce API costs by optimising prompt length, choosing the right model tier for each task, and implementing caching strategies.

Chain & Pipeline Design

Multi-step prompt chains that break complex tasks into reliable steps. with error handling, fallbacks, and quality checks between stages.

How It Works
01

Audit current prompts

We review your existing prompts, identify failure modes, and establish quality baselines for improvement.

02

Design & test

We design prompt variants using systematic frameworks, then A/B test against your quality metrics.

03

Optimise for production

We optimise for cost, latency, and consistency. building version-controlled prompt libraries with evaluation pipelines.

04

Deploy & manage

Production-ready prompt systems with monitoring, regression testing, and a process for safe iteration.

Next Step

Need better AI outputs?

Request an audit review. we'll audit your prompts and show you what systematic engineering can achieve.

Or email [email protected]