AI in your development team, with process and costs under control
AI agents speed a team up only when they work within a process: clear specs, reviews and limits. I set up Spec-Driven Development in your repository, configure the agents and we measure how much they deliver and what they cost.
Book a 30-min callWhat is included
- Spec-Driven Development set up in your repositories
- Agent configuration (Claude Code, GitHub Copilot) and team rules
- Quality gates: automated checks before any code is written
- Model choice per task type and cost telemetry
- RAG agents with tools for your product
- Team training with real cases
How to engage
Fixed-price audit
From USD 1,100 · fixed price
Assessment of the system and the team, prioritized risks and a concrete roadmap for the next stages.
Typical timeline: 1–2 weeks
Hourly consulting
From USD 45 · per hour
Design reviews, one-off decisions, pairing with your team or guidance through a migration.
Typical timeline: on demand
Dedicated sprint
From USD 3,600 · per 2-week sprint
Two weeks embedded in your team to build or migrate a specific piece, with clear deliverables.
Typical timeline: 2 weeks
Prices in USD based on a senior rate of USD 45–55 per hour. The final scope is defined in a free intro call.
Real cases
SDD Harness
Open source CLI on npm that installs Spec-Driven Development in a new or existing repo, with specialized agents and gates.
Flexibility — AI tooling
Central template registry for AI agents and the SDD harness the consultancy uses as its standard across projects.
Crypto Trader
Eight AI agents with their own roles, each on a model picked by score; backtest-measured rules decide and the LLM only vetoes.
Frequently asked questions
What is Spec-Driven Development?
A methodology where every change starts from a registered specification, passes automated gates and closes with review and traceability. AI agents work within that process instead of flying blind.
Does it work with any stack?
Yes. The SDD system installs on top of the repository without touching the application code.
How are AI costs controlled?
The model is chosen per task (economy, standard or high) and token usage is recorded per task and per agent to see where to adjust.
Shall we talk?
In a free 30-minute call we go over your case and I propose where to start.