01 / 04 · start
Strategic
conversation
We talk about what holds your team back today and whether working with agents makes sense for you.
Free
- Duration
- 30 min · video
- With
- César Soto
- Outcome
- A clear next step
- Cost
- Free
More software.
Same team.
For startups and scale-ups that already build with AI and need to ship more without hiring more engineers. Your agents do the work, your team decides, and quality is not up for negotiation.
César Soto · CTO at Simón · 25+ years leading engineering · ex Rappi, Drift01 · Sound familiar?
More roadmap than people. Every startup's problem.
- ▲ 01
The roadmap grows faster than your team, and others already ship faster.
Every sprint you leave out something your customers or your investors expect, and you watch other companies launch first.
- ▲ 02
The runway can't cover hiring.
Every new engineer costs months of search and onboarding you don't have.
- ▲ 03
You use AI, but everyone does it their own way.
There are scattered wins, not a system. Speed depends on who touches what.
- ▲ 04
Moving fast without breaking production.
You want speed, but one serious bug with your first customers costs a lot.
02 · The shift
Your team already uses AI. Your roadmap moves the same.
Most teams use AI for isolated tasks: helping write code, reviewing, solving one case. The jump comes when you change the whole way of working: agents carry the work end to end and your people decide at the moments that matter.
- ▲ 01
More shipped, same team.
Your team of 5 ships like a bigger one. You don't need to double headcount to double your roadmap.
- ▲ 02
Your team decides, agents execute.
Product approves what gets built, one person reviews what's risky and QA signs off before release.
- ▲ 03
Errors get handled on their own.
Every production failure is diagnosed and reaches your team with a fix proposal ready.
- ▲ 04
A method that stays current.
AI changes every quarter. I keep you up to date so your team doesn't fall behind.
03 · MethodTechnical detail for your CTO →
From idea to production. Your team decides at three moments.
- stage 01
Business need
An agent turns the need into a clear spec, based on your real product.
▲ Product approves - stage 02
Build
Several agents build in parallel, test and document.
- stage 03
Review
Quality, security and your business rules get reviewed. A person reviews anything high-risk.
▲ Human review - stage 04
In production
It ships to your users with the documentation up to date.
▲ QA approves
After launchEvery production error goes back into the process with a diagnosis and a proposed fix. Nothing stays in a report.
04 · César
25 years scaling with headcount. Today I scale output.
- Rappi
- 100+engineers led.
- Drift Mexico
- 3 → 35people on the team I built.
- Today · CTO at Simón
- 2–3releases a week at Simón, a B2B platform I run with agents, without hiring more developers.
How I operate today with agents.
The same system I install in other teams.
- ▲ 01
Agents build in parallel.
Each task runs isolated, and specs live in the repository so the agent knows how to decide.
- ▲ 02
Every PR goes through three reviewers.
One agent reviews security, another quality, and another that every acceptance criterion of the requirement is met.
- ▲ 03
A person decides where it matters.
Product validates what gets built, a person reviews high-risk changes and QA approves behavior before release.
- ▲ 04
Errors come back as a PR.
Agents regularly review logged bugs and production errors, fix them and open the PR.
- ▲ 05
Refining and support are agents too.
One turns a requirement into a spec that can be built. Another reaches the root cause of a support report and says how sure it is.
05 · How we work
Start with a conversation. Grow if it makes sense.
Capacity · September 20261 active implementation · 3 founder-price spots
Strategic
▲ Free · 30 min
02 / 04 · measure
Diagnostic
and plan
We measure where your team is today, define where it can get to, and I leave you a written plan.
$1,800
- Duration
- 10 h
- What we review
- How your team builds today: code, processes and people
- Your starting point
- 3 indicators: deliveries per week, time from idea to production and requirements QA sends back
- What you get
- A written plan to move to working with agents
- Availability
- Depends on the implementation in progress
03 / 04 · implement
Implementation
in your team
Your team starts shipping with agents, with human review where it matters, and learns to run it without depending on me.
from $8,000
- Duration
- 4–6 weeks
- What I install
- The full agent-based workflow, with your quality and security rules
- Team training
- Included
- How it is measured
- The same 3 indicators, at the start and at the end
- Capacity
- 1 active
04 / 04 · maintain
Monthly
support
Your way of working, up to date. Every month the new version of the method reaches your team already applied, because AI changes every quarter.
Regular $1,200/mo
▲ Founder · 3 spots$600/mo
- Monthly method update
- Applied in your team
- Sessions with me
- 2 per month (4 h)
- Direct channel with me
- For questions between sessions
- Support for your technical lead
- On every change
- Regular price
- $1,200/mo
Founder price for the first 3, in exchange for a publishable case with metrics.
Reserve a spotUSD + taxes · same price list for Mexico, LATAM and the US · You keep everything generated.
The technical detail of each step is in The method →From the blog
The latest I have written.
See all articles →▲ Agent-based development
· 6 min read
What a harness is and how it makes an AI agent trustworthy.
What a harness is, what pieces it has, and how an acceptance agent brought requirements sent back by QA down to almost zero on a real team.
Read article →06 · Questions
Short answers.
No. The goal is for the team you already have to ship more. They run the system; I install it and keep it current.
No. We talk about outcomes, risks and how to bring your team along. If you want, we add your CTO for the technical detail.
Everything built: processes, agents and documentation, inside your company.
My focus is startups and scale-ups: teams that already have a product in the market, decide fast and need results soon. In heavily regulated environments the model loses speed.
No. I work with companies that already have a product in the market and an engineering team. If you are validating an MVP from scratch, that is not what I do.
Yes. Same USD price list for Mexico, LATAM and the US, in Spanish or English.
Because I deliver it myself, and every day I run in production the system I install.
