I treated my first AI agent like a moonshot: social media, project management, analytics, scheduling, emails, the whole stack. Within days, I was buried in errors.
What worked was flipping the approach:
Pick one workflow → mine was unread emails + blocking calendar time.
Lean on existing agents → instead of coding everything, I tested tools like pokee.ai and LangChain. What stood out with pokee ai was how it already tied into Workspace + Slack, so I didn’t need to reinvent integrations.
Iterate fast → run → break → fix. Took dozens of cycles but the loop was shorter.
Keep memory light → I ditched complex vector DBs until I actually needed scale.
It was humbling but freeing: a single polished agent that executes > a half-built “universal bot.”
What’s the one task you’d want to delegate to an AI agent if it actually worked reliably?
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