Hey Composio team, instead of using Claude 4.5 for your workflows let’s do automated Domain Guidance generation, RL finetuning on SLMs (with ~0 drop in performance), saving you 80% on op-costs and lowballing your opps. LMK if you’re interested. Details: Making AI workflows economically feasible while not compromising on quality Problem: AI workflows are everywhere, but reliably and cost-effectively doing them is a challenge Background: The real value lies in prediction. Preparation for the user’s query, that’s why verticals are so popular. Right now, the only thing that separates the vertical from a generalist AI is domain knowledge (and hence accuracy). This factors into their training costs, and verticals are forced to charge more. Methodology: In our case, we’re automating the process of “training the model on domain expertise”, which is currently done manually, and is the primary moat of AI verticals. 1. We do automatic research on the domain our ICP operated in, anticipate their common usecases, and train our model on those. 2. Therefore, our AI will have a 60-70% chance of knowing the exact order of tools to run and achieve industry level performance, given a workflow, with 80% lesser cost. Result: We’ll be able to deliver the same performance as a vertical on most industry workflows at a fraction of the cost, which will enable us to capture a bigger market share.