Process: Launch, Validate, Scale
A three-phase methodology for shipping AI products on a multi-agent system. Each phase has its own timeline, artefacts and exit point. No multi-quarter contracts, no hidden obligations: at every step the decision to continue or stop is yours.
Why three phases
The classical approach to AI product development — big spec, big team, multi-month sprint plan. Risk surfaces at the end: the product is built, but it is the wrong one, the market did not respond, the budget is gone. With a multi-agent system you can slice the risk into chunks — the first working result lands in days, not months. That gives three natural control points: launched, validated, scaling.
Each phase is a separate, completed contract. The output of each is an artefact that makes the next decision obvious.
Phase 1 — Launch from scratch
What happens
I take the task — a description of the problem and the target user. I ship a working MVP: one central use case, minimum interface, maximum code. The multi-agent system does the bulk of the work: segment research, prototype, build, base infrastructure. As the architect I hold the coherence and make the decisions on forks.
Artefacts
- Working product — deployed on a test domain, ready to be tested by real users.
- Source code in your repository from the first commit. No vendor lock-in, no hidden dependencies.
- Documentation — a README with the architecture, a runbook for deployment.
- Smoke tests — the minimum needed for you to change code without fear of breaking it.
When it fits
For startups and R&D departments that need to test an idea — without spending a quarter on assembling a dev team. For product owners who want to try specific functionality before committing to investment. More — formats of cooperation.
Phase 2 — Validate
What happens
We iterate on feedback from real users. Production environment goes up to DORA Elite-tier standards: continuous deployment, metrics, automatic rollback. The economics get fixed — unit cost, conversion, the break-even point.
What we track
- Lead Time for Changes — from commit to production. Target: hours, not days.
- Deployment Frequency — multiple releases per day. Gives iteration speed unreachable with classical sprints.
- Change Failure Rate — minimal, thanks to automated tests and canary deploys.
- Mean Time to Recovery — minutes, through automatic rollback and monitoring.
Phase result
Confirmed value — the product has users, usage metrics, economics. At this point we make a joint decision: scale or stop. If we scale — we choose the format of phase three.
Phase 3 — Scale
Format options
- Per-project. Each significant feature is a separate fixed-price contract. Fits when there is a clear roadmap but no need for a standing team.
- Retainer. A fixed monthly volume of work under contract. The multi-agent system works on the product every day: new features, support, evolution. Fits when the product is growing and predictability matters.
- Revenue share. When economics are confirmed and there is shared interest in growth — part of the cost converts into a revenue share. Lowers CapEx, increases alignment.
- Joint product. Under a shared brand, with IP and accountability split. The most encompassing format — when the product becomes a separate business unit.
What does not change
At every step of phase three the base principles hold: source code is yours, processes are open in the repository, metrics are visible in real time. No black box, no vendor lock-in.
Principles behind the process
The architect holds coherence
The multi-agent system does the bulk of the work — writing code, testing, documenting, deploying. But product decisions, architecture forks, risk management remain a human's job. As the architect I am accountable for quality and deadlines. This is not «AI does everything», this is «AI does what machines do well, humans do what humans do well».
Transparent repository
Every task, every commit, every review is visible in real time. That means — just like with a regular dev team, only without one. You can check progress, ask questions, request reconsideration of a decision at any time. No daily standups, no multi-page status reports — the repository is the status.
Reliability and security standards
By default I work to 12-Factor App, OWASP Top 10, AWS Well-Architected. Not because every product must be enterprise-grade, but because these standards let the product grow without rewriting.
What is not in the process
- Multi-month contracts on Phase 1. If the first days do not work out — we part ways without penalties.
- Monthly «support» subscriptions where I do nothing for the fee. A retainer is about volume of work, not about access.
- Hidden costs for integrations, infrastructure, tools. Everything needed for the launch is included in the fixed price.
- Vendor lock-in. If you decide to walk at the scale stage — you take the source code, documentation, keys. No «special access» on my side.
How to start
Describe the task in two to three sentences. What problem you are solving, who the target user is, what you consider success. No 30-page spec — context is enough. From there I refine with questions and the next day show the first prototype.
How to reach me:
- Telegram @spacemax — main channel, I reply within 24 hours.
- Email max@superlisa.pro — for contracts, NDAs, official correspondence.
Related
- Formats of cooperation — Launch from scratch, Production mode, Technology partnership.
- Projects on the multi-agent system — current cases with numbers.
- Why agentic-as-a-service — six differences from a classical dev team.
- FAQ — team, data, price, source code.
- Archive — 17 years before the current practice (RU page).