PraxisAgent: Autonomous Open-AI Operations Worker Built for My Friend Sarah

Description and use

PraxisAgent automatically processes invoices, prevents duplicate payments and input errors, and requires user confirmation before final actions, freeing up time for work.

Problem

Sarah, who handles billing and clinic operations, repeatedly spends Friday afternoons manually processing scattered vendor invoices, scanning PDFs with scrambled filenames, and entering data into outdated ERP/healthcare portals, risking duplicate payments, typos, and wasted hours.

Outcome

PraxisAgent achieved a 9/9 verified pass rate across 9 end-to-end chaos engineering scenarios, successfully filtering duplicate invoices, preventing typos, and requiring Sarah’s approval before any irreversible action.

Workflow

• 1. Receive plain-English request (e.g., "Find Acme's latest bill in the invoices folder and enter it into the ERP").
• 2. Locate and parse unstructured documents (PDFs, JSONs, text tickets) using pdf-parse and custom extraction logic.
• 3. Distill live browser pages into compact numbered element references ([ref] selectors).
• 4. Navigate the ERP form using the distilled DOM references.
• 5. Intercept state-mutating actions (submit, approve, pay) via the deterministic policy safety gate.
• 6. Prompt Sarah for interactive approval before executing irreversible actions.
• 7. Verify submission by querying the portal’s database endpoint (/__state) and cryptographically proving record creation without duplicates.

Evidence

PraxisAgent is an autonomous, open-source operations agent that takes plain-English operational requests (e.g., "Find Acme's latest bill in the invoices folder and enter it into the ERP"), autonomously locates and parses unstructured documents (PDFs, JSONs, text tickets), drives a real browser session to populate the portal, and stops at an interactive Human-in-the-Loop policy gate before submitting irreversible actions.

Source

PraxisAgent was designed, tested, and benchmarked across 9 end-to-end chaos engineering scenarios (achieving a 9/9 verified pass rate across validation errors, session dropouts, and duplicate invoice filters).

Source