You Decide: Build a Human-Directed Editorial Workflow with the Manual Strategy
Blog post from Orkes
Agentspan’s manual multi-agent strategy places humans directly in control of workflow routing by pausing after each turn and requiring a person to choose which agent acts next. The post demonstrates this approach through an editorial team of a writer, fact checker, and copy editor, where a human can dynamically direct drafting, verification, revision, and polishing according to the content’s needs rather than a fixed sequence or automated decision. Using the same Agent class as Agentspan’s other orchestration strategies, a team configured with `Strategy.MANUAL` emits a waiting event, accepts a selected agent through a response call, and repeats until reaching its turn limit. The strategy is positioned for editorial review, education, debugging, and quality-control workflows where human judgment is the routing logic, while automated strategies remain preferable when rules, model decisions, or fixed ordering are sufficient. Agentspan preserves paused workflows on its server indefinitely, allowing users to reconnect or respond later without blocking a process.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 6 | 9,814 | 1,776 | 243 | +42% |
| Multi-agent systems | 2 | 598 | 222 | 86 | +12% |
| AI Agents | 1 | 5,657 | 1,451 | 270 | -3% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.