01Operator
Owns the jobOperator OS holds its role, memory, rules, routines, permissions, and judgement.
One governed worker. Any intelligence.
Your business should control its AI.
Build a digital worker with a real role, lasting memory, clear instructions, and permission to do useful work. Let it use Claude, Codex, open-source models, or your own private intelligence without handing control of the worker to any one AI company.
Sovereign AI, in plain English: you own the worker, its knowledge, its rules, and how it operates. The model is a choice, not a lock-in.
Your digital worker
WorkingOperations Operator
RoleMemoryRulesPermissions
Operator decides
“This needs specialist code reasoning. Codex can do that. Keep the approval before release.”
Claude Code
Codex selected
Open source
Private model
AF
AgentFlow executes
Process · tools · approval · evidence
Change the model. Keep the worker, memory, process, and control.
One worker. Three layers.
A worker you own, governed by AgentFlow, using the right tools for each task.
02AgentFlow
Governs and verifies the workModels, people, tools, process, approvals, systems, and evidence.
03Models + tools
Perform the tasksClaude, Codex, private models, and connected business tools.
Live paper-trading proof
We put an Operator to work on a trading platform.
ARGUS is OSTEC's connected paper-trading platform. It provides live market information, strategy records, risk and compliance checks, order handling, positions, and outcome evidence without risking real money.
Why trading?
It is a demanding demonstration of scheduled work, persistent memory, hard limits, external tools, deliberate inaction, and verifiable outcomes. The same worker pattern applies to customer operations, finance, compliance, and engineering.
Paper-trading demonstration. No real funds are used. This demonstrates governed execution, not investment performance.
A trading shift
Paper environmentWhat the worker actually does
- 1
Wakes on schedule. Regular routines tell it when to scan markets, review strategies, check positions, and send updates.
- 2
Recalls its operating doctrine. It carries forward the strategy rules, risk limits, active positions, prior decisions, and lessons it has been taught.
- 3
Looks across the market. It discovers eligible shares, currencies, and crypto rather than relying on a small hard-coded watchlist.
- 4
Tests the opportunity. Market conditions, the strategy, available budget, risk, and compliance all have to agree before an order can proceed.
- 5
Acts or deliberately waits. If a setup qualifies, AgentFlow carries out the instructed task. If it does not, the correct action is no trade.
- 6
Checks the real result. It reads the trading platform back for the order, fill, and position, records evidence, updates its work, and sends the report.
The worker discovered a broad share universe, assessed the top candidates, put PayPal on watch, and bought 29 Intel shares at $102.87 only after market-regime, compliance, and risk checks approved the order. It then verified the recorded fill and position.
No order was placed. Fresh crypto bars were checked against the funded rule cards, SOL/USD was skipped because it lacked funded coverage, and funded FX scans stayed deferred until the session reopened. BTC/USD stayed too extended and still had a negative MACD histogram, ETH/USD met momentum checks but exceeded its max-chase limit, XRP/USD never printed the required downside probe, and there were no open CRYPTO or FOREX positions to exit.
What this proves for any business
Replace “market scan” with an inbox, an order queue, a security alert, a finance report, or a customer case. The same worker pattern can remember the rules, choose the right intelligence, use connected tools, follow the process, and prove the outcome.
Freedom From Model Lock-In
The worker is the asset. The AI model is one of its tools.
Today one model may be best at a job. Tomorrow another may be faster, cheaper, more private, or more capable. AgentFlow keeps the business process stable while Operator uses the intelligence that fits the work.
Keep the worker
The role, instructions, memory, permissions, and business process belong to you. They do not disappear when you change AI provider.
Choose the intelligence
Use Claude Code for one job, Codex for another, or connect an open-source or private model where control and data location matter most.
Run it your way
Operate in your own environment, connect your own systems, and decide exactly which actions happen automatically and which require a person.
Real Business Process
Not another chat box. A worker inside the way your business runs.
AgentFlow can follow a formal business process, react to events, branch when circumstances change, wait for a person, and continue hours or days later without losing the thread.
You describe how the work should run. Operator understands the job. AgentFlow makes sure the steps actually happen.
Something happens
An email arrives, a schedule fires, a customer acts, or a system raises an event.
Operator understands the job
It recalls the role, the customer or case, prior decisions, and the instructions that apply.
The right intelligence is chosen
Claude, Codex, an open model, or a human can be selected according to your policy.
AgentFlow runs the process
It coordinates the tasks, tools, systems, decisions, and any steps that can run in parallel.
People stay in control
Approvals, exceptions, and high-impact decisions pause for the right person when required.
The outcome is proved
The worker checks the real destination, records evidence, reports back, and remembers what matters next time.
Every Channel
Work can find the Operator wherever it begins.
People do not need to learn a new AI interface. The worker can meet the business through the channels and events it already uses.
Read, prepare, send, and follow up.
Voice
Listen, respond, and hand over to a person.
Team chat
Receive work and report back where teams already talk.
Schedules
Wake up for recurring work without being prompted.
Business events
Act when an order, alert, message, or system change arrives.
Put It To Work
Start with one important role.
A digital workforce does not begin with hundreds of agents. It begins with one well-defined worker that owns one valuable piece of the business and earns more responsibility through evidence.
Customer operations
A worker that knows the customer, handles routine contact across email and voice, updates the right systems, and escalates exceptions.
Finance and reporting
A worker that gathers figures, reconciles records, follows approval rules, prepares reports, and proves where every number came from.
Risk and compliance
A worker that monitors events, checks policy before action, holds risky work for review, and leaves a complete decision trail.
Engineering delivery
A worker that can choose Claude Code or Codex for the job, coordinate specialist tasks, test the result, and return evidence instead of a promise.
Your Business. Your Worker.
Where could one controlled digital worker make the biggest difference?
Tell us about a role, process, or responsibility. We will help you map the memory, models, tools, channels, approvals, and evidence it needs.