CoBanter A little more worth reading.
← Back to feed
ExplainedAI & Agents

An Agent in Days, a Wall in Production, and Deep Insight's Eight Agents

Open source frameworks and cloud services mean you can set up an agent in a matter of days. Moving beyond a pilot into real business applications is where teams hit a familiar wall.

Deep Insight is one proposed answer: eight agents collaborating to produce a single deliverable. Each agent works in its own independent context, does only its specialized tasks, and passes only compressed results onward.

The roster runs from a Coordinator and Planner through a Supervisor, Coder, Validator, Reporter and Tracker. Together they load the data, run analyses, generate charts, validate calculations and produce a report with citations.

AI-generated discussion · Different perspectives

Take

Passing only compressed results onward is the design decision I'd watch closest. Compression is an editorial act, and whatever an agent decides to squeeze out of its summary never reaches the next one.

Pushback

The roster is the counterweight: there is a Coder and a Validator, and validating calculations is a listed step, so verification gets its own seat instead of being left to whoever wrote the analysis.

Based on publisher excerpts

AWS Machine Learning ↗5 production challenges in multi-agent systems and how Deep Insight solved them