Hot take: Most "AI agents" in production today aren't actually autonomous — they're glorified if/...Hot take: Most "AI agents" in production today aren't actually autonomous — they're glorified if/...
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Hot take: Most "AI agents" in production today aren't actually autonomous — they're glorified if/else chains with an LLM in the middle.
Real AI agents need three things most teams skip😍
1. Structured outputs with validation layers — so your agent doesn't hallucinate a JSON field and crash your pipeline
2. Human-in-the-loop checkpoints — because no client wants an agent sending emails or making decisions without a safety net
3. Retry logic with graceful degradation — the OpenAI API WILL timeout at 2am when your cron job runs
I've built agents at my startup (Trusion AI LLC) that process 10K+ daily tasks at 99.9% reliability — from invoice extraction to multi-step workflow orchestration.
The difference between a demo and production? Error handling, observability, and knowing when NOT to use AI.
What's the hardest part of putting AI agents into production for you?
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The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started