The anti-slop AI studio · measured

Production AI that you ownnot rent.

example run — not a client metric

Real systems, senior-built and measured against one honest number — then handed over with the code, the weights, and the evals.

Senior buildersA few real pilotsYou own everything

Handover manifestno lock-in
  1. 01Source code yours
  2. 02Model weights yours
  3. 03Evaluation suite yours
  4. 04Full IP & deployment yours
01 Land — a cheap audit finds the one number 02 Build — fixed-price, built into your tools, owned 03 Keep — optional retainer, cancel anytime

What we build

Four systems we build to own — not demo.

Featured system

AI Sales & Marketing Agents

Finds leads, writes the outreach, follows up, and books meetings — straight into your CRM.

  • Leads
  • Outreach
  • CRM
A DPR AI sales agent presenting to a chat bubble
  1. Workflow & Ops Automations

    Automates the steps that drain hours. You scale with code, not headcount.

    • Workflows
    • Ops
    • Scale
    A DPR AI agent tinkering with a glowing gear
  2. Multi-Agent Systems

    A team of agents for the complex jobs — automatic where it's routine, you approve where it counts.

    • Orchestration
    • Approvals
    • Guardrails
    A team of three DPR AI agents working together
  3. Custom AI Pipelines

    Your data and docs wired into one system that answers and acts — with evals from day one.

    • Retrieval
    • Evals
    • Actions
    A DPR AI agent guiding a data pipeline of glowing cubes

Most AI you've been sold is slop: dead demos, rented wrappers, and accuracy nobody can reproduce.

You own it

If you can't take the code, the weights, and the evals with you, you're renting theater.

Four things change hands on day one. In writing.

Certificate of ownership Transfers day one · No lock-in
  1. The code Every repo, in your org from day one. Fork it, change it, run it without us.
  2. The weights The model and every fine-tune — yours to keep, re-train, or walk away with.
  3. The evals The test suite that proves it works, so you can prove it again — without us.
  4. The runbook How to operate it, written down. Fire us tomorrow and nothing stops working.
No. DPR—2026 · Issued at kickoff DPR AI

How a build runs

One number. Built in your systems. Handed to you.

Blank page a working artifact a system you own

  1. Pick the number

    We choose the one number this AI must move, so success is clear from day one.

    Target set
  2. Check today

    We measure where that number sits right now, so later we can prove it changed.

    Baseline read
  3. Build in your work

    We build the AI right inside how your team already works, not off to the side.

    Building
  4. Test it hard

    We run it on real cases again and again to catch mistakes before you do.

    Testing
  5. Hand it over

    We give it to your team and show them how to run it without us.

    Handed over
  6. Show the proof

    We show the number again so you can see exactly what moved and by how much.

    Proof shown

You own the finished AI, you know how it works, and you can see it earned its place. See each step in detail

The cost of doing it by hand

0 hours
handed back
a year

≈ 0 full-time weeks a machine could carry — at 40% automated.

Put a real number on it

Your inputs, your estimate — time only, no pricing. We measure the real number with you during scoping.

Your fears, answered

The four questions everyone asks first.

Yes — that's the whole point. A first build ends with a working system running against a real number, not a demo. If it can't reach production, we say so before you pay.

No. You get the code, the weights, and the docs. No license to renew, no seat to rent. You can walk away with everything the day the build ships.

We work inside your boundaries — your cloud, your keys where possible. We don't train shared models on your data, and we agree the handling rules in writing up front.

Our aim is to hand off and leave. We document the system so your team can run and extend it. We're happy to help later — but by choice, never by lock-in.

About the studio

A small, senior AI studio.

Real work over borrowed logos. We publish how we measure — and you own everything we build.

  1. Real work over borrowed logosNo stock-photo case studies — we show the build and the one number it moved.
  2. We publish how we measureThe eval method is written down and reproducible — by you, without us.
  3. You own what we buildCode, weights, evals, and the runbook — transferred on day one.

Run it yourself

Yours to keep, nothing to rent.

Nothing to install but Python. Read the code, change it, run it — no account, no key needed to try it.

In your terminal # no key needed to try it
python inbox_to_action.py thread.txt --dry-run

Start a conversation

Let's find the deep work a machine should do.

Production AI that ships, measured by one number. A real answer in one business day — no sales script.

1business-day reply
Freeopportunity read

Prefer email? hello@dprai.io