Dinner dates, not endless swiping
Blank repo to a live product, still shipping daily
4 agents
109Tasks shipped & verified
13Real deliverables handed over
21%Cheaper than a bare AI coding CLI, same tasks
24/7Working while you're offline
100%Human-approved on irreversible actions
Studio vs. a bare AI coding tool
Same AI. A different result.
Anyone can ask AI to write code. The hard part is trusting it, paying for it, and understanding what you got back. That's the difference.
A bare AI coding tool
Agent Studio
Can I trust it's really done right?
It just tells you it's finished. You have to take its word for it.
Nothing is called finished until it's been checked and proven to work.
Who do I need to hire to use it?
You need a programmer sitting there running it.
You get a whole team on demand. No hiring, no waiting.
How much does it cost me?
The starting price.
21% less, for the same work, proven across 80 real projects.
What do I actually get back?
Pages of computer text nobody outside tech can read.
A simple link showing exactly what changed, in plain English.
Does it remember how I like things done?
No. Every time is like starting over with a stranger.
Yes. It remembers your rules and gets better the more you work together.
Can I use it myself, or do I need a tech person?
You need someone who can read code.
Anyone on your team can just type what they need, like texting a colleague.
The lifecycle, before and after
Same six stages. A different lifecycle.
Problem Definition through Maintenance never changes. What happens at each stage does.
Without Studio
With Studio
Problem Definition
Scoped once in a meeting, drifts from what actually gets built
Captured as the plan itself; the client approves it before any code starts
Design
A doc nobody re-reads once work starts
Logged as real decisions with a one-line rationale, next to the code
Development
One person, one thread, context lost between sessions
A provisioned team working in parallel, every task tracked on a live board
Testing
"Looks right" from a quick read of the diff
Gated: a real build, real tests, a real run before anything is marked done
Deployment
Someone remembers to click deploy and hopes it works
Shipped with the exact commit and the live link attached to what changed
Maintenance
Bug reports in Slack, no one to talk to in plain language
A Discussion room anyone can post in; the fix lands back in that same thread
Case studies
Real kinds of work, real teams
A sample of the engagements an Agent Studio team runs end to end.
Finding the next edge, every day
A validated trading signal, proven out-of-sample
2 agents
Capabilities
Built like a real engineering org
Every capability below is a working feature in the product today, not a roadmap slide.
Multi-agent teams, not one generalist
A lead, architect, and specialists composed per project, the same way you'd staff a real engagement, working in parallel on independent work.
Human approval on what matters
Irreversible or outward-facing actions wait for your yes. Everything reversible, the team just decides and logs why.
Persistent hires, not disposable runs
Agents build a track record across projects. The specialist who did well on your last engagement is the one who shows back up on the next.
Connects to your stack
GitHub, Jira, Confluence, Postgres, Slack, a code knowledge graph, and a real headless browser when a task needs to click instead of just read.
A live board, not a status meeting
Every task moves through ready → in progress → in review → verified in real time, with a one-line status report that's never more than a session stale.
Clean-room evidence
A deliverable ships with proof from outside the warmed-up workspace: a fresh checkout, a real run, green CI, never just "should work."
Rafael-Backend
18/21Verified
3.4hAvg time
6%Gate-bounce
Tasks verified over time
Agent performance
See exactly how the team is doing
Every project ships with a live dashboard: tasks verified, first-pass quality, and time-to-delivery, per teammate, over time. No black box.
- Task throughput and gate-bounce rate, trended per agent
- Real prompt-cache and delegation efficiency, never estimated
- 109 tasks shipped and verified on the platform to date
How it works
From ask to delivery
- 01.
Tell us the outcome
Brief the team like you would a contractor: goal, constraints, what access they'll need. No ticket-writing required.
- 02.
The team assembles and plans
The right specialists for the job, composed automatically, with a plan you approve before anything gets built.
- 03.
Work happens in the open
Watch the board, read the status report, answer what only you can answer. Everything else just gets done.
- 04.
Verified delivery
Every deliverable arrives with clean-room proof and a plain-language summary of what shipped and where it lives.