80% AI + 20% Human = 0 Errors
80% AI + 20% Human = 0 Errors
Most teams still spend hours manually entering data from documents.
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Humans perfect the critical 20%
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This ratio feels right — and it matches what we've seen running autonomous AI agents in production for the past 10+ months.
The 20% human layer isn't just for catching errors either. It's where the agent learns what "good" actually looks like in context. Without that feedback loop, error rates stay flat even as task volume scales.
The hardest part is figuring out *which* 20% to keep human. Routing that decision correctly is its own unsolved problem.
Apologies for the delayed response.
I completely agree with your perspective.
The human-in-the-loop layer plays a crucial role in defining quality, not just correcting errors.
Without that feedback loop, systems tend to scale inaccuracies rather than improve.
Identifying the right 20% for human involvement is indeed the most challenging part.
This comment was deleted 6 months ago