OpenClaw multi-agent workflow cuts research to two minutes

This is less about raw model IQ than workflow design: the payoff comes from turning messy research into a repeatable, auditable assembly line. OpenClaw looks like the glue layer that makes that practical.

• –The reported savings are believable because the task is bounded and repetitive: search, synthesize, format, repeat.
• –OpenClaw's self-hosted gateway is the real enabler here, with sessions, cron, memory hooks, and chat routing doing the unglamorous work.
• –Persistent memory matters; PostgreSQL + pgvector turn the assistant into a stateful system instead of a cold-start prompt chain.
• –The exact model mix is a little fuzzy in the post, so the runtime is better read as an anecdote than a benchmark.
• –Once the output is structured, the same pipeline can feed daily briefs, Discord alerts, or other automations with almost no extra effort.