Agents aren't magic — they're workflows with judgment
Strip the mystique off an AI agent and what's left is a workflow: parse the ask, pick the tools, do the steps, assemble the output. The part that's new isn't the pipeline — it's that the pipeline now exercises judgment at each step. Which data matters. Which anomaly is noise. What to recommend.
That reframing changes what you design. You stop asking "how smart is the model?" and start asking the same questions you'd ask about a new analyst on the team: what's it allowed to decide alone, what does it draft for review, and what must it never touch?
The human-in-the-loop checkpoint isn't a safety disclaimer you bolt on for the enterprise buyers. It's the product. Place it wrong in either direction and you lose: gate every step and you've built a slower form with extra latency; gate nothing and one bad recommendation costs you the trust you needed for the other hundred good ones.
My working rule: agents draft, humans decide, and the boundary between those two verbs is the most important line in your spec. Prototype the workflow end to end before writing that spec — an afternoon of watching the agent actually walk the steps teaches you more about where the checkpoint belongs than a week of whiteboarding it.
Built something like this? I'm always happy to compare notes.
aniket.kgp25@gmail.com →