Jason Johnson

Thinking about universe 24/7. 🍀

[Jason Johnson @JasonJohnseqx]

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[Cashmere Labs @CashmereLabs]

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[Jason Johnson @JasonJohnseqx]

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[Jason Johnson @JasonJohnseqx]

@adultswim AI generation

[Jason Johnson @JasonJohnseqx]

@Shred_0x is that real or AI

[Jason Johnson @JasonJohnseqx]

@robidyapp ultra gritty move 🙂

[Fluixo @fluixoo]

Most AI agents do not fail because the model is weak.

They fail because the architecture is vague.

One prompt becomes five jobs.
Five tools become forty.
One workflow becomes a 3,000-word system prompt full of exceptions.

That is not an agent.

That is a future incident.

Production agents need patterns:

- single agent
- ReAct
- planner + executor
- review + critique
- human-in-the-loop
- coordinator
- parallel agents
- event-driven agents
- custom logic

The point is not to make the system more autonomous.

The point is to put autonomy exactly where it earns its place.

If the path is predictable, use code.
If the risk is high, use human approval.
If quality matters, add review.
If the route is unknown, use ReAct.
If timing matters, go event-driven.

The best agent systems are not the most complex.

They are the ones that match the shape of the uncertainty.

Bookmark this before your “simple agent” turns into a distributed system with no logs.