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The agent isn’t a prompt with a document stapled to it. It gets its own computer — a VM where it can run commands, query databases, open files, and produce new ones for the duration of the work. That’s what makes it possible to hand it a process instead of a task. A trained team member doesn’t follow a fixed sequence of steps; they look things up, check an edge case, do a bit of arithmetic, and write the email. The runtime is what lets the agent do the same.

What the agent can reach

Everything outside that list is closed. The environment is scoped to the project and the grants on the table — see Governance.

It runs code when the task calls for it

There is no fixed pipeline behind a case. The agent decides what the work needs:
  • A 4,000-row spreadsheet attached to an email → it processes it as data, not as text.
  • Fifty candidate customers on a fuzzy name → it queries, normalizes, and compares in SQL.
  • A total that doesn’t add up → it recomputes the line items and says which one is off.
  • A supplier who needs an answer → it drafts the reply with the case’s facts in it.
Different cases take different paths through the same procedure. That’s the point: the SOP describes the process, and the runtime is general enough to execute it.

Deliverables on demand

Because the agent can write files, it can produce work products about its own work. Ask in the chat:
Give me an xlsx of all Order Match cases from last month with match status, which ones needed review, and the reason.
It queries the table, does the analysis, and writes the xlsx into the project’s Files — keep a Reporting folder for them so generated deliverables don’t mix with incoming documents. This is on demand — you ask, it produces. It is not a scheduled report job.

Model tiers

Each reconcile table picks an AI Model tier in its Configure view: Start on Balanced. Move to Powerful when you see the agent flagging cases a person would have resolved, or misreading hard documents. Move to Fast once a process is stable and the cases are uniform. Tiers apply to the agent — the reconcile table, the chat, agentic approval.
Tiers are not extraction pipelines. Extraction tables and the extraction API use a separate set of model configurations (cloudsquid-flash, cloudsquid-pro-v3, and so on). Different subsystem, different names — see Extraction pipelines.

Everything lands in the trace

Every query the agent ran, every file it opened, every action it took is recorded on the case. When a reviewer asks “why did it pick this customer”, the answer isn’t a summary written after the fact — it’s the actual sequence of what happened. See Review & approvals for what the reviewer sees.

SOPs

The procedure the runtime executes.

Governance

What scopes the environment: grants, gates, and the audit trail.

Integrations

Tokens the agent uses from inside its environment.

Review & approvals

Where the trace shows up for a human.