Context Engineering
The context AI needs to produce useful, accurate and brand-aligned results
I design the information, instructions, structures and systems that give AI the context it needs to produce useful, accurate and brand-aligned results.
Good output rarely comes from more tools. It comes from clear standards, good source data and instructions a model can follow.
My clients have included global technology companies, luxury travel brands, fintech startups, financial institutions, consumer brands, news media, higher education and healthcare brands.
What Context Engineering Includes
- Prompt design and reusable prompt libraries
- Data and style-guide readiness for AI use
- Source material organized for AI use: messaging, terminology, examples and reference content
- Instructions and guardrails for AI assistants
- Evaluation criteria and scoring for model output
Good Fit When
- AI output is fast but off-brand or inaccurate
- Every team prompts differently and results vary wildly
- You're building an assistant and it needs to know your business
- Your style guide was written for people, not models
Work with Me
I'm open to fractional, consulting and contract engagements, and to a full-time role when it's the right fit.
Contact me