Grok Build can now run hundreds of agents on one task
By Steven Van ·
A new Workflows feature plans, parallelizes, and reports back on jobs too big for a single chat, like triaging 100+ issues.
Grok added a way to take on work that doesn't fit in a single chat. Workflows are now in Grok Build: hand Grok a task a single conversation can't hold, triage 100+ issues, or review thousands of lines of code in detail, and Build plans the work, runs up to hundreds of agents in parallel, and comes back with one report.
Beyond what one context can hold
The framing names the real limit of chat-based AI: a single conversation can only hold so much. Some tasks, auditing a huge codebase, triaging a mountain of issues, are too big to fit, no matter how capable the model. Workflows breaks that ceiling by decomposing the job and fanning it out: Grok plans the work, spins up many agents to cover it in parallel, and synthesizes their results into one report. It's the difference between one worker reading everything sequentially and a team splitting the load.
Hundreds of agents, one answer
Running up to hundreds of agents in parallel is what makes scale-heavy tasks tractable in reasonable time. But the crucial word is "one report", the value isn't the fan-out, it's the synthesis. Hundreds of agents producing hundreds of fragments would just be more to read. Grok collapsing that back into a single coherent report is what turns parallel scale into something a human can actually act on.
Orchestration is the pattern of the moment
Grok Workflows joins a clear trend, structured multi-agent orchestration as the way to take on jobs one model instance can't. It's the same shape behind broad audits, migrations, and sweeps: decompose, fan out, verify, synthesize. For teams facing genuinely large tasks, review at scale, mass triage, big migrations, a built-in way to plan and parallelize is more useful than a smarter single chat.
Try it
Workflows are available in Grok Build now, call the /Workflow skill to start. The tasks where it shines are the ones you'd never attempt in a single conversation: point it at a large codebase review or a big backlog triage and let it fan the work out.
Sources: Grok on X.