Build Agent Teams — Agentisable

The Problem

You need an agent team. You don't have one yet.

Picking the wrong agent configuration costs you. Wrong model for the task. Wrong pipeline architecture. Wrong review gates. The result is a team that burns tokens without shipping anything you'd put your name on.

Building from scratch requires two things most teams lack: the experience to know which agent handles which job, and the orchestration layer that keeps them from stepping on each other.

How Agentisable Solves It

The Composition Pattern. The Coach selects the team. The factory executes. Zero human intervention between brief and ship.

Step 1

Scout

The Coach maps your problem. What needs doing, what the inputs are, what "shipped" looks like. This is a conversation, not a questionnaire. Takes 15 minutes.

Step 2

Compose

The Coach picks agents from the factory roster. Each agent has one job. amelia builds. testlead tests. carson researches. drquinn QA-checks. The right combination matters more than the right individual.

Step 3

Build

The factory runs the pipeline. Scout, PRD, scaffold, build, test, deploy. Each phase produces a DONE marker. The pipeline doesn't guess. It follows the plan the Coach wrote.

Step 4

Ship

Working code. Tests passing. Deployed. The closing line goes in the build log: "Zero human intervention. The Coach selected the team. The factory shipped."

Build Log Proof

Real builds. Real numbers. Verified from agent session logs.

PDF Forensics MVP

/log/001

Django + PyMuPDF + pikepdf
10 stories, 112 unit tests, 5 forensic checks
$1.41 · 2h07m · 277 LLM calls
7 testing phases skipped, 3 test-fix rounds

"Zero human intervention. The Coach selected the team. The factory shipped."

LeadMgr

/log/002

Django + HTMX, multi-tenant from day one
26 minutes of amelia, 39 minutes of testlead, 11 rounds of adversarial QA
$0.35 build · $0.41 test · 85 LLM calls
QA cost dominated build cost by roughly 35x. That's the brand.

Fermi Estimate

/log/003

Next.js + Workers + D1
26 minutes of active build across 8 short bursts
$1.10 · 206 LLM calls · 489,675 tokens
Post-build: 1B model swapped to 8B for reliability. The log records why.

Who This Is For

Dev shops adopting agent pipelines for the first time. You need the architecture right before you commit budget.
Founders with a product idea. You want a working MVP, not a slide deck.
Teams considering agents. You've read the hype. Now you want the build log.

FAQ

What do you deliver?

Working code, tests passing, deployed. The full pipeline, scout through ship, runs without your team touching anything. You get a build log with real numbers.

How long does it take?

3.2 hours on average. Some builds land in 26 minutes. Some take 29 hours of wall clock (most of that is idle time between bursts). The factory doesn't sleep, but it does pause.

What stack do you use?

Whatever fits the job. Django, Next.js, Cloudflare Workers, Python. The Coach picks the stack based on your constraints, not ours.

What if I don't know what I need?

The Scout phase handles that. Send us a brief, even a messy one, and we'll map the problem in 15 minutes. The audit is free.

Can I see the build log?

Every build goes in the log. Real numbers, real failures, real fixes. Start at /log/.

We build agent teams