Environments for AI agents
Real software, rebuilt for agents to practice on.
High-fidelity environments, graded tasks and verifiers for training and testing AI agents.
task_0142 · bookkeeping1/3
Goal
Reconcile March checking so the books match the bank statement.
- Found duplicate payment — Con Edison $412.80
- Voided the duplicate
- Statement and books match — difference 0.00
Why environments
Agents fail at real work because they’ve never done it.
Models learn from text, but real work happens inside software: messy data, multi-step workflows, edge cases nobody wrote down. Practice needs a world that behaves like the real thing, and a clear score at the end.
Train
Reinforcement learning on real work
- Graded tasks become reward signals
- Thousands of rollouts from identical starting states
- Difficulty calibrated from easy to frontier-breaking
Evaluate
Know what your agent can actually do
- Pass rates by task, domain and difficulty
- Regression checks across model versions
- Every result traceable to an end state
How we work
From your software to a graded environment.
Software
Bookkeeping — reconciliation, month-end close
01
Name the software
The product and workflows your agents need.
Output: a scoped spec of the software and workflows
02
We replicate it
Interface, backend and realistic data.
Output: replica app + deterministic seed data
03
We write and calibrate tasks
Easy to frontier-breaking, with verifiers.
Output: graded tasks + tested verifiers
04
You train and test
Environment, task set and pass-rate report delivered.
Output: environment, task set, pass-rate report
Environments
Any software your agents need to master.
We build environments for the software you name. A few we know well:
Example tasks
- Void the duplicate vendor payment
- Reconcile March checking
- Close Q2 and lock the period
What the verifier checks
- Ledger balances and bank statement agree to the cent
- Voided and locked entries can’t be edited afterwards
Modules
Ledger, Reconciliation, Invoicing, Month-end close
Data
Realistic multi-entity companies with vendors, customers, bank feeds and a messy history.
Deliveredenvironment · task set · verifiers · pass-rate report
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