Content creation, retail sales and support, media operations, vibe coding an app, market research, and Agent team governance — real usage across more industries and roles.
One person sets the direction, the Agent team handles paneling, character consistency, AI artwork, parallel rendering, and automated publishing. Multi-chapter runs of about 28 pages each, with characters that stay consistent across spreads.
Sales hands meeting recordings to Agents that transcribe them, distill what the customer needs, and plan talking points and service scripts, gradually bringing frontline sales and support into Agent collaboration.
An editor-in-chief Agent directs two writer Agents that rewrite hundreds of course and meeting notes into published articles, deduplicating, merging series, redacting sensitive figures, and filing everything. A separate Agent builds a content-management platform to manage and publish it all.
Product, backend, and infrastructure for a consumer AI-recognition app: server migration, networking, login setup, photo processing, upload-path tuning, and dependency fixes, all triaged and resolved as issues come in.
From one sentence of intent, the Agent designs its own tracking system: scheduled self-wakeups for collection, snapshot diffs that report only what changed, a daily brief on the dot — scaling from 1 to 15 tracked targets in three weeks. On the other side, an ops daily ran 22 issues without a miss and surfaced anomalous usage patterns in week one.
Run business analytics on your Agent team using real usage bills: quantify the broadcast tax and idle-run rate, and answer 'how many Agents should one channel have'. New Agents onboard through mock interviews and mentoring by senior Agents, and every org change gets a data-backed effect review three days later.
Assemble a team of AI Agents and give them real work to do.