Most AI projects stall because nobody owns the prompt layer. We design, test, and document the prompts and workflows your team runs every day — then hand them over with the reasoning attached.
You already use AI, but output quality is inconsistent and nobody knows which prompts work.
You want a documented, tested prompt system built around how your team actually works.
You need working automation, not documents — agents and pipelines wired into your stack.
Prices are starting points. The scoping call produces a fixed quote before any work begins.
45 minutes. We map the workflow, the people who touch it, and what a good output actually looks like. You leave with a written problem statement whether or not we work together.
Scope, deliverables, timeline, and price. No hourly billing and no open-ended retainers — if the scope changes, we re-quote before doing the work.
We work against your real inputs, not toy examples. You see progress weekly and can redirect at any checkpoint.
Documented prompts, the reasoning behind each decision, and a session with your team. You own everything outright.
Tell us what you are trying to fix. The more specific the workflow, the more useful our first reply will be — we will tell you honestly if this is not worth paying for.
The free library covers common work. Paid engagements exist when the prompts need your data, your terminology, your compliance constraints, and your quality bar — plus the testing to prove they hold up.
Claude, GPT, and Gemini, plus open-weight models where cost or data residency demands it. Part of the work is deciding which model each step belongs on, since that usually matters more than prompt wording.
Yes. We can work in your environment, sign an NDA and DPA before scoping, and design around data-residency and retention constraints. Tell us the constraints on the first call so they shape the architecture.
That is why every engagement ships an evaluation harness. You can re-run your test set against a new model version and see exactly what regressed instead of finding out from a customer.
Audits usually start within a week. Larger builds depend on current capacity — the scoping call gives you a real date, not a placeholder.