01
Domain experts aren't prompting experts.
The people who know the work can't describe it as a prompt. The AI either doesn't ship, or ships wrong.
Production AI from your examples.
Your domain experts upload examples of work done correctly. Podesta turns them into tested AI workflows your developers call from code, through the SDK. BDPE, a Chambers Band 1 law firm, deployed theirs in under thirty days.
< 30 days
To first production workflow
BDPE
Chambers Band 1 / Legal 500 Tier 1 law firm
0 prompts
For your domain experts to write
In production with
BDPE, a Chambers Band 1 / Legal 500 Tier 1 law firm. Further customer references are available under NDA.
The problem
Two halves of the work that almost never sit in the same head.
02
Prompting experts aren't domain experts.
Engineers can write the prompt but don't know what good looks like in the domain. Edge cases get missed.
03
AI outputs without accountability.
Models hallucinate. Summaries fabricate. There is no paper trail for what was generated or why.
Or license the same stack
Your team builds on what we use internally.
Studio for your domain experts and engineers. SDKs your code calls from. The same workflow server we run our customer work on — managed, dedicated, or in your own cloud.
Studio
Where you author.
Visual editor, live event stream, inline debugger, eval panel. LSP-backed, semantic diff across scripts, first-class evals.
SDKs
Where your code calls.
TypeScript, Python, Rust. Typed inputs in, typed outputs out. The same event protocol Studio renders.
Server
Where it runs.
Workflow engine, audit trail, two-way MCP. Managed, dedicated, or in your own cloud / on-prem with signed container images.
Principles
Built on principles, not on promises.
Four rules the platform is engineered around. They're the floor, not the ceiling.
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Examples-driven.
Domain experts ship AI by uploading work done correctly — inputs, expected outputs, edge cases. No prompt-writing required, no AI fluency required. The people who know the work stay in their domain.
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Tested before published.
Every workflow passes example-derived tests before it goes live. Tests aren't a quality goal — they are the gate. A workflow that doesn't pass doesn't ship.
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Decoupled from your code.
The workflow runs as a service on Podesta — called from your code via the SDK. Updates flow without engineering tickets, version bumps, or release coordination. Your developers integrate it once and forget it.
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Expert-approved today, autonomous next.
Humans approve passing changes today — every change. Once validation is reliable, Podesta publishes passing changes automatically. The same loop, with humans in or out depending on confidence.
Where this is going
From the workflow you ask for, to the workflow we surface.
Connected to your tools, Podesta observes how work flows, finds bottlenecks, gathers examples of the work done correctly, and ships the workflow to handle it. We call this process mining for Applied AI — and it's running in pilots today.
Two ways to work with Podesta
Services — we deliver.
Scope → Build → Hand off. Used today by enterprise customers running automation projects.
See engagement shapes →License — your team builds.
License the Akribes stack — Studio, SDKs, the workflow server, the eval system. The same stack we use to deliver every services engagement.
See the stack →