Task orchestration
Real jobs are rarely one prompt. Break them into focused tasks, chain them together, and let the bot carry the work forward. Step by step, handoff by handoff.
The problem
Stuffing a real workflow into a single prompt doesn't scale. The prompt balloons. The model loses the thread. Debugging becomes impossible. When something goes wrong, you can't tell which part of the job failed, let alone why. And any change means rewriting the whole thing and hoping nothing else regressed.
What BotHound gives you
A bot is a sequence of tasks. Each task has one job: research the topic, summarize the findings, format the output, send the report. The output of one task flows into the next. If a step misbehaves, you edit just that step. If a new requirement shows up, you add a new task rather than surgery on a wall of text.
This turns bots from "one giant prompt and pray" into something you can actually build, iterate on, and trust.
Why break jobs into tasks
- Break a complex job into steps you can reason about
- Give each step its own focused prompt and tools
- Make bot behavior predictable and inspectable
- Reuse patterns (research, summarize, deliver) across bots
- Iterate on one step without rebuilding the whole bot
- Debug failures at the exact step they occur
Frequently asked questions
What is a task?
A task is a single, focused step in a bot's job. Each task has its own purpose, its own tools, and its own outputs, which can then feed into the next task. Tasks are the building blocks of any multi-step bot.
How many tasks can one bot have?
As many as the job needs. Simple bots might have one or two tasks; complex workflows can chain a dozen or more. BotHound handles the handoff between them so you don't have to.
Do tasks run in order?
By default, yes. Each task runs after the previous one completes. This keeps behavior predictable, with each step building on the output of the last.
Can I edit a bot's tasks after creating it?
Yes. Add, remove, or reorder tasks at any time. Future runs will use the updated task list; past runs keep their history intact so you can always see how the bot behaved before a change.