AI Lab · by Linh Tran · 2026-10-14
Why does every AI agent demo look amazing but fall apart the moment you give it a real messy task?
Genuinely asking. Ive tried half a dozen agent frameworks for things like 'research this topic and compile a report' and they all do fine on the happy path then spiral into weird loops or hallucinate sources the second the task has any ambiguity. Is this a fundamental limitation right now or am I just doing something wrong with prompting/tooling?
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Comments
Aarav Sharma · 0 likes
its mostly a fundamental limitation imo, the error accumulation over multi step tasks is still really hard to control
Kabir Khan · 0 likes
try adding explicit verification steps between actions, dramatically reduces the spiral behavior in my experience
Rohan Mehta · 0 likes
demos are cherry picked by definition, nobody posts the 50 failed runs that happened before the good one
Jisoo Park · 0 likes
the source hallucination thing specifically gets better if you force it to quote exact text before citing, forces grounding
Ren Suzuki · 0 likes
i had better luck breaking the task into much smaller explicit subtasks rather than trusting the agent to plan its own steps
Tanvir Rahman · 0 likes
this is literally my day job right now and yeah, ambiguity tolerance is the single biggest gap between demo and production
Thandi Mokoena · 0 likes
have you tried giving it a 'give up and ask for clarification' escape hatch? helped me a ton with infinite loops
Quiet Runner · 0 likes
agents work great for narrow well defined tools, broad open ended research tasks are still rough across the board
Ethan Brooks · 0 likes
the gap between demo and prod for agents might be the most consistent theme in ai this year honestly