Every guide
- How to write an SOP an AI agent can followPut one action on each line.
- What an AI agent audit trail should containA good trail lets anyone reconstruct each step: what the agent saw, what it did, which rule or model output decided it, what changed in the system, who approved, and when.
- How to automate software that has no APIFirst figure out which "no API" you have.
- Human-in-the-loop AI agents: where to put the personPut a person where a wrong action is expensive and hard to undo, and where the agent's evidence is weak.
- Local vs cloud AI agents: security and data residencyDecision one: where the agent executes, meaning whose machine, browser, session and credentials.
- ROI of back-office AI agents: the formulasROI is the cost of the hours an agent gives back, minus the cost of the exceptions, reviews, upkeep and oversight it creates, minus software and model costs, set against one-time build and parallel-run costs.
- How to stop AI agents from hallucinating numbersNever let the model have the last word on a number.
- How to test an AI agent before it writes to your ERPTest an agent like a new hire with write access, only more often.
- What is a computer-use agent?A computer-use agent is AI software that operates a computer through its screen.
- What is an agent development kit (ADK)?An agent development kit (ADK) is a packaged set of building blocks for creating, testing and running AI agents: a model interface, tools that act on systems, orchestration, guardrails, human checkpoints, evaluation, tracing and a runtime.
- Which workflow should you automate first? A scorecardStart with a workflow that is frequent, slow by hand, low in variation, spread across a few systems, cheap to get wrong and rarely off the happy path.
- Why browser agents get blocked (and what actually works)Sites score every visit on signals a scripted browser gets wrong: a datacenter IP address, a connection fingerprint that doesn't match the browser it claims to be, automation flags, robotic input timing and request rates no person produces.
No guide matches that yet. Try "API", "audit" or "ROI".
Start anywhere
Twelve short guides. Each one answers a single question up top, then gets practical. No jargon tour, no 40-page whitepaper.
- 12
- guides
- 4
- themes
- ~5
- minutes each
How agents work
The basics. What a computer-use agent is, what an agent development kit is, and how to automate software that has no API.
Plan your first agent
Pick the right workflow, write it down so an agent can follow it, and do the math before anyone signs anything.
- 1ChooseWhich workflow should you automate first?Start with a workflow that is frequent, slow by hand, low in variation, spread across a few systems, cheap to get wrong and rarely off the happy path.
- 2Write it downHow to write an SOP an AI agent can followPut one action on each line.
- 3Count the returnROI of back-office AI agentsROI is the cost of the hours an agent gives back, minus the cost of the exceptions, reviews, upkeep and oversight it creates, minus software and model costs, set against one-time build and parallel-run costs.
Keep it accurate and accountable
Where to put a person, how to stop invented numbers, how to test before going live, and what a real audit trail holds.
Security and access
Where agents run, what data leaves your network, and why so many browser agents get blocked.
- Local vs cloud AI agentsDecision one: where the agent executes, meaning whose machine, browser, session and credentials.
- Why browser agents get blockedSites score every visit on signals a scripted browser gets wrong: a datacenter IP address, a connection fingerprint that doesn't match the browser it claims to be, automation flags, robotic input timing and request rates no person produces.
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