AI agent development for research
Building AI agent development project for market research. Agent should read 50 sources, synthesize, and write a brief.
With GPT-4o + web search + PDF parsing, one run costs $2-4 and takes 8 minutes. Clients won’t pay that per report. If I use cheaper models the output is shallow and misses nuance.
For people shipping AI agent development commercially, how do you balance cost, latency, and quality? Do you cache, fine-tune small models, batch work, or limit sources? Need to get this under $0.50 per report to have margins. Current accuracy is 85% which clients accept.