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Every AI Model.

The gap between a mediocre AI feature and an exceptional one is almost always in the prompts. We design, test and optimise prompts that make your AI reliable, accurate and genuinely useful.

ClaudeGPT-4GeminiSystem PromptsChain-of-ThoughtRAGEvals
What We Do

What is Prompt Engineering?

Prompt engineering is designing instructions that reliably get AI models to produce the output you need. It's the difference between AI that occasionally works and AI that works consistently, accurately and safely — every time.

  • System prompt design and architecture for production AI features
  • Chain-of-thought (CoT) and step-by-step reasoning frameworks
  • RAG (Retrieval-Augmented Generation) prompt optimisation
  • Few-shot and multi-shot example design
  • Prompt evaluation frameworks — measure and track performance
  • Jailbreak prevention and safety boundary setting
🎯

Precision

Prompts designed to produce the exact output format and quality you need

📊

Measurable

Evaluation frameworks so you can track prompt performance over time

🔒

Safe

Guard rails, refusal handling and safety boundaries built into every prompt

Efficient

Optimised for token efficiency — better output, lower cost per call

How We Work

Our Proven Process

A clear, transparent process from first conversation to live deployment.

01
🔍

Audit

We review your current prompts, identify failures, inconsistencies and quality gaps.

02
🧪

Test Design

Create a comprehensive evaluation dataset — 100+ test cases covering edge cases and failure modes.

03
✏️

Prompt Engineering

Iteratively design, test and refine prompts until performance targets are met.

04
📈

Monitor & Improve

Set up ongoing eval tracking so you know if prompt performance degrades after model updates.

Tech Stack

Technologies We Use

Best-in-class tools chosen for reliability, scalability and AI-readiness.

Claude (Anthropic)

Our preferred model for complex reasoning, long-context and safety-critical tasks.

Claude 3.5 SonnetLong ContextSafety
🤖

OpenAI GPT-4

Best-in-class for general tasks, code generation and multimodal use cases.

GPT-4oVisionFunction Calling
🌐

Google Gemini

Strong for multimodal tasks and long-context documents.

Gemini ProMultimodalLong Context
🔗

LangChain / DSPy

Prompt orchestration and programmatic optimisation frameworks.

OrchestrationPipelinesDSPy
📊

Evals & Testing

Systematic evaluation — LLM-as-judge, human eval and automated scoring.

LLM-as-JudgeAutomated EvalsBenchmarks
🗄️

Vector DBs for RAG

Optimise retrieval to ensure the right context reaches your prompts.

PineconepgvectorQdrant
Industry Use Cases

Built for Your Sector

We adapt our approach to the specific needs, compliance requirements and workflows of your industry.

🏥

Healthcare

Clinical note prompts, triage classification and patient communication with HIPAA-safe boundaries.

⚖️

Legal

Contract analysis, clause extraction and legal research prompts with citation accuracy.

🎓

Education

Essay evaluation rubrics, tutoring prompts and curriculum generation frameworks.

🤖

AI Products

Production system prompts for SaaS AI features — chatbots, assistants and automation.

📈

Sales & Marketing

Personalised outreach generation, lead scoring prompts and content creation at scale.

🔒

Compliance

Regulatory document analysis, risk assessment and compliance checking prompts.

Case Study

Real Project. Real Results.

📁 Education Tech

AI Essay Evaluator — 94% Agreement with Human Markers

We engineered a prompt system for an EdTech platform to evaluate student essays against rubrics — achieving 94% agreement with trained human markers across 5,000 test submissions with full reasoning explanations.

Claude 3.5 SonnetLangChainCustom Evals FrameworkPostgreSQLNext.js
View Full Case Study →
94%
Agreement with expert human markers
5,000
Test submissions in eval set
< 8s
Average evaluation time per essay
60%
Reduction in marking cost per student
Engagement Model

Choose Your Package

Flexible engagement options for startups, growing businesses and enterprise organisations. All packages include a free scoping consultation.

Starter
🚀 Spark

Perfect for MVPs, pilots and proof-of-concepts. Fast delivery, core features.

Audit of up to 10 existing prompts
Redesign and optimisation
Basic eval dataset (50 cases)
One model (Claude or GPT-4)
2-week engagement
Most Popular
⚡ Scale

Full-featured build with advanced AI, cloud deployment and integrations.

Full system prompt architecture
Multi-prompt pipeline design
Comprehensive eval suite (200+ cases)
Multi-model testing
RAG optimisation included
Monthly performance review
Custom
🏢 Enterprise

Dedicated team, SLA-backed support, compliance-ready and fully bespoke.

Dedicated prompt engineering team
Continuous eval and monitoring
Custom eval framework build
Fine-tuning assessment
Prompt versioning system
Ongoing optimisation retainer
Ready to Start?

Let's Build Your
AI That Actually Works

Share your current AI prompts or describe what you're trying to achieve. We'll audit them for free and tell you exactly what's holding you back.

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