A checklist and setup walkthrough for designing your first AI agent — built for business
operators, not engineers. Tick the boxes you can already check; the rest is where to start.
Generative AI answers questions. Agentic AI acts — across your email, tickets,
files, and workflows. A step-change in leverage, and a step-change in risk. Capturing one without the other is the whole game.
Every agent worth shipping comes down to three decisions — we'll design one live on July 23:
Brief
The one job, defined tightly.
Lane
What it may & may not do.
Loop
How a human stays in control.
Readiness checklist · before you build
Three categories, ten items. Can't tick a box yet? That's your starting point.
FoundationBrief
Ownership & SuccessBrief
Guardrails & OversightLaneLoop
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Setup walkthrough & what's next
From idea to working agent.
Seven steps, in order. The first three need nothing but a notebook.
BriefDefine the one job.
1
Document the task as it works today — who does it, what triggers it, what they produce, where it breaks. You can't automate what you can't describe.
2
Define inputs and outputs explicitly — every input it needs, every output it must produce. Most early failures are interface problems, not intelligence problems.
3
Write the one-sentence brief — “This agent's only job is to ______.” If it won't fit in one sentence, the scope is too big.
LaneSet the boundaries before it acts.
4
Set the lane — allow & deny lists — two short lists of what it IS and is NOT allowed to do: actions, systems, recipients, topics. AI defaults to helpful; without limits, helpful becomes harmful.
LoopKeep a human in control.
5
Build the human checkpoint — who reviews, when, and with what authority to stop or approve. Trust is earned one verified output at a time.
6
Run a parallel trial — 2–4 weeks producing alongside the human process; log every disagreement. You learn where it fails before it fails at scale.
7
Define your kill switch — what triggers shutdown, and who can pull it. Decide before something goes wrong, not under pressure.
Five traps to skip: going too big too fast · skipping the human review ·
pointing it at messy data · ignoring prompt injection (hidden instructions in documents & emails) ·
no defined success metric. Catching these now is far cheaper than later.
Live Webinar · Inside the Build
AI Agents That Stay in Their Lane
July 23, 2026 · 3:00 PM CDT · 60 min
We build one real agent end to end with the full Brief · Lane · Loop framework — live Q&A, bring your task.
Ask about our AI Discovery Workshop & AI Readiness Review.
Reserve your seat →
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