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Douglas Soldan / AI systems

AI Systems / Autonomous Agents

An agent needs more than a language model. It needs a defined task, permitted tools, a way to request help and a way to verify its output. OR4CULO coordinates these responsibilities.

OR4CULO / SYSTEM MAPIllustrative architecture demo
Scenario
Goal

A reviewable editorial delivery with sources and acceptance criteria.

Every part has a responsibility.

01

Control plane

Keeps track of what needs to happen, who is executing it and what has been verified. Supabase Postgres is the durable authority.

02

Manager Loop

Breaks goals into phases and makes progress conditional on verification.

03

Multi-provider routing

Routes tasks to available capabilities within usage, quality and budget constraints.

04

Browser automation

Executes steps in web interfaces with access boundaries, records and exception handling.

05

Verification

Checks outputs against explicit criteria instead of relying only on the executor’s report.

06

Human intervention

Escalates decisions and exceptions that require a person while independent work can continue.

The diagram explains the architecture; it does not display a production session. The current contract prefers deterministic scripts before LLMs. Local models remain outside production, and paid APIs are not invoked automatically.

Read the OR4CULO case

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What problem do you want to solve?

Tell me what happens today, where the friction is and what needs to change. We can assess a path toward automation, a product or an AI system.