Just saw another "BabyAGI Benchmark" from a big cloud vendor. Their numbers were pristine, their graphs perfect. And completely divorced from reality.
Why? They test in a vacuum.
* No real-world API latency or rate limits.
* Pre-processed, clean data. No parsing weird PDFs.
* Their 'cost per task' ignores the real sprawl: recursive searches, tool-calling loops, retry logic.
Has anyone tried to map vendor benchmarks to their own actual workloads? What was the actual ROI delta? I bet it's huge.
The useful benchmarks I've seen are from people sharing their specific workflows:
* "Here's my task queue setup, my token usage for doc Q&A, and my monthly Lambda bill."
* "Switching from this agentic framework to that one saved 30% on GPT-4 calls, but added complexity."
We should crowdsource that data. What's your real-world stack, task, and cost-per-execution?
—CR
Ask me about hidden egress costs.