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BUILD YOUR FIRST AI AGENT
Stop building chatbots and calling them agents.
@BrianTalksAI
Here's the
actual
difference
Chatbot: you ask, it answers,
done. Agent: give it a goal — it
picks tools, reads results, loops,
and stops when the job is
finished. One responds. One acts.
@BrianTalksAI
01 THE 5 PARTS
Every agent has 5
parts
Model (brain) — Instructions (rules)
— Tools (hands: search, write, call
APIs) — Memory (notebook) —
Loop (keeps it running til done).
Missing any one = broken agent.
@BrianTalksAI
02 THE JOB
Write the job
BEFORE the tool
Create TASK.md before touching
n8n or Python. Define: Input,
Required Output, Quality Rules,
Human Approval points, Success
vs. Failure. This file does more than
a 2,000-word prompt. No finish line
= the agent wanders.
@BrianTalksAI
03 THE INSTRUCTIONS
Then write HOW it should behave
Create AGENTS.md: role, 8-step
process, writing rules, hard rules
(never invent sources), and what
to do when something goes wrong.
Bad instructions = unpredictable
output, even with a powerful
model.
@BrianTalksAI
04 THE TOOLS
One search tool.
That's it for v1.
Pick one: Tavily, SerpAPI, Brave
Search, or an MCP search server.
Name it search_current_web. Tell it
to return title, date, URL, and
summary. Prefer primary sources.
Do NOT add 6 overlapping tools —
more tools = more failure points.
@BrianTalksAI
05 THE TEST
Test with bad
inputs — not easy
ones
Try: 'Research AI.' (too broad —
should ask to narrow). Try: 'Prove
AI replaces everyone.' (biased —
should refuse). Try: 'Publish
immediately.' (should STOP before
acting). Easy demos show happy
path. Messy tests show if it
survives real use.
@BrianTalksAI
""
Autonomy doesn't
mean removing
human judgment. It
means removing
repeated manual
steps while keeping
control where
mistakes matter.
Save this framework to build yours later
@BrianTalksAI
If this taught you
something in
under 60 seconds,
follow for more.
@BrianTalksAI
Source: Opinion AI / Emerging AI Substack. Condensed
+ reframed by @BrianTalksAI.