Prompt systems,
not prompt tricks
A versioned prompt library in git with an evaluation set, guardrails and an internal tool so non-technical staff get consistent output without learning prompt engineering.
Prompts live in a Google Doc, three people have different versions, nobody knows which one works, and output quality swings wildly week to week.
A versioned prompt library in git with an evaluation set, guardrails and an internal tool so non-technical staff get consistent output without learning prompt engineering.
What you get
- Versioned prompt library
- Typed variable schema
- Evaluation test set
- Guardrails & refusals
- Brand voice enforcement
- Internal tool UI
- Cost dashboard
- Team training session
| Starting from | $799 – $4,000 |
| Typical timeline | 2–4 weeks |
| Discipline | Automate |
| Markets served | 8 countries |
| Ownership | 100% yours on payment |
| Support after launch | 30 days included |
Written response within 24 hours. No card required.
See it working
Not a screenshot — a live build you can click through right now, in your
own browser, before you pay us anything.
AI Content Systems — questions answered
What is actually delivered?
A prompt library as YAML in git, a JSON variable schema, an eval set of 20–50 test cases per template, guardrails in code, a brand voice document and a simple UI your team can use.
Why version control prompts?
Because a prompt is code. Change one and something downstream breaks. In git you can review, revert and run the evals before shipping.
Does this replace writers?
No, it makes them faster. The system drafts, a person edits and approves. Anything customer-facing goes through a human gate — that is built into the workflow, not optional.
How do you control cost?
Per-template token budgets, a cost dashboard by user and month, and routing simple tasks to cheaper models. Most savings come from not using a frontier model for everything.
Can you train our team?
Included on Premium — a session on how the library works, how to add a template and how to read the evals.
