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GUIDES

Approve, check and prove AI agent work

Practical answers on approving what agents do, checking their work, and showing your team or client the proof.

MCP6 min read

Connect OrgX MCP for Organizational Memory (ChatGPT, Claude, Cursor)

Step-by-step setup guide for connecting OrgX MCP to your AI client for shared decisions, artifacts, approvals, and project context.

Strategy8 min read

How to Scale Product, Marketing & Sales with AI Agents in 2025

How solo founders and small teams hand routine work to AI agents and check less of it. Starter is $98/month.

Operations7 min read

How to Prove Delegated Work Got Done

A founder guide to verifying delegated work with artifacts, decisions, source context, and AI-agent proof instead of vague status updates.

Operations7 min read

How to Track Startup Initiatives Across Functions

A founder guide to tracking initiatives across product, engineering, marketing, sales, and ops with owners, decisions, AI agents, and proof.

Verification7 min read

Human-in-the-loop approval for AI agents

What human-in-the-loop approval means for AI agents, which actions should stop for a person, and how LangGraph, the OpenAI Agents SDK, HumanLayer, Claude Code, Codex and OrgX support it.

Record8 min read

Audit trails for AI coding agents (Claude Code, Codex, Cursor)

How to keep an audit trail of what Claude Code, Codex and Cursor agents did: what each tool records natively, what git and CI add, and the gap OrgX fills across tools.

Verification6 min read

AI agent observability vs verifying the work

How tracing, production evaluations and improvement tools contribute evidence, and what a team still needs to accept a specific agent deliverable. Where LangSmith, Braintrust, Judgment Labs and OrgX fit.

Agencies7 min read

How agencies prove AI-delivered work was checked

An approval and audit trail for AI-generated client deliverables: what clients ask, what evidence to attach, how proofing tools like Ziflow and Filestage compare, and how OrgX proof rooms show who signed off.

Verification5 min read

What is an AI agent work receipt?

An AI agent work receipt is a portable record of what an agent was asked to do, what authority it had, what it changed, the evidence and whether the result was verified. Fields, an example, and the open Agent Work Receipt v0.1 schema.