recursiv

Your company, improving itself.

Redesign your business for the age of superintelligence.

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Week01
Time saved / month12 hrs
Work done right91.0%
The problem

AI made tasks faster. The work didn’t get faster.

Most companies add agents to processes built for people. The work still waits on hand-offs, reviews and approvals, so the money goes in and the time never comes back.

Request inAgent readsAgent draftsWaiting for reviewApproved142 WAITING · 3 DAYSSECONDSDAYSTHE SLOWEST STEP SETS THE PACE
Request inAgent readsSECONDSAgent draftsSECONDSWaiting for review142 WAITING · 3 DAYSApproved
01Bolted on

Agents are added to work designed for people. The steps stay the same, so the savings never show up.

We fix it with Simulate →
02Stuck in the queue

Every agent output waits for a person to check it. The review queue, not the agent, sets the pace.

We fix it with Watch →
03Never measured

No one can say which AI spend is working, so pilots never get cleared to run on their own.

We fix it with Learn →
How it works

One self-improving loop. Always running.

Every week it finds a better way to do your work, tests it on your past work, puts it live and measures the time and money it saves. What it learns builds up in your Context, so every week starts ahead of the last.

SimulateBuildWatchLearnContextLOOP 1
01SimulateTest every mix of people and agents on your own past work before anything goes live.Explore Simulate →02BuildAgents doing real work on your real data, on any model, inside your rules.Explore Build →03WatchEvery result graded from outside the agent, so you know what is working.Explore Watch →04LearnTurn the evidence into next week’s change, tested first and approved by a person.Explore Learn →00 · At the centerContextEverything the loop learns compounds here, in intelligence you own.Explore Context →
Research

Developed with the San Diego Supercomputer Center. Open by design.

Together we develop and test how AI work gets measured.

  1. 01Graded from outsideA different model and team score the work. Nothing grades itself.
  2. 02Your answer keyScored against your own rules and right answers, which the agent never sees.
  3. 03Planted errorsKnown mistakes hidden in the work show the checks catch them.
  4. 04Open and rerunnableDesigned to be open, so anyone can rerun it.
Part 1PredictBefore it goes livePart 2MeasureOnce it runsPart 3ImproveEvery week afterRead the research →
Control

Your business sets the rules. You stay in control.

Every change is simulated on your past work, then waits for a person. What it learns stays yours, on any model.

  • Any model
  • You own your Context
  • Evidence mapped to AIUC-1
Proposed change · Week 7WAITING
Send refunds over $500 to a person
Simulated on 1,200 past cases95.1% → 97.5% right
Your rulesAll respected
Time back+64 hrs / month
Waiting for your approvalApproved by your finance leadLive, and added to your Context
Start free

Find where AI can save your business the most time.

Send us your website. Our team researches your business and sends you a free blueprint: where people and agents fit, and what it saves.

Try it freeBook a demo
  1. Your free blueprintWhere AI fits, and what it saves
  2. PilotWe build the first version with you
  3. PlatformThe monthly loop, priced to your scope