A new course shows how to build a graph-based multi-agent workflow for business use
nrehiew_ · x · 2026-07-22
A follow-up post points to a full course on graph engineering for AI agents, focused on building a practical multi-agent workflow.
- The course promises to show how to build a first agent graph and deploy it in a business setting.
- The example workflow has multiple agents research in parallel, challenge each other’s findings, and then hand over one merged result for final human approval.
- The post frames graph engineering as a concrete pattern for coordinating AI agents rather than a vague conceptual overview.
More from coding & agent
- T3 Chat's Inbox-Style Sidebar Aims to End Fragmented AI Coding Workflows — threepointone · 2026-07-23
- Sales-deck agent adoption jumped only after it showed its reasoning — Professional_Cow2868 · 2026-07-23
- Claude Tag adds admin rules for auto-mode actions in Slack workspaces — EricBuess · 2026-07-23
- A deep dive into how MCP tool calling works under the hood — jeffiql · 2026-07-23
- Steel’s browser plugin runs Hermes tools in the cloud for hard web navigation — Teknium · 2026-07-23
- OpenAI’s Codex uses encrypted server-side context compaction, and Pi can now enable it — dotey · 2026-07-23