Product·Jun 22, 2026·6 min read

Workflows: Orchestrate Your Swarm Visually

From a single sentence in HiveMind to a running, scheduled automation that chains your bots together. Here's how Bothive Workflows turn agents into a real operations team.

Engineering Team
Engineering team at Bothive. Building the future of AI agent orchestration.

Workflows: Orchestrate Your Swarm Visually

A single bot answers a question. A workflow gets work done — on a schedule, across your tools, chaining your bots into a team that hands off to each other. With this release, building one is as easy as describing it.

Visual workflow canvas

From a sentence to a running graph

Open HiveMind and describe the automation in plain language:

"Every morning at 9am, have my Research bot find the latest AI news, then my Writer bot turn it into a short summary, then post it to Slack."

HiveMind builds the workflow graph and shows it right in the chat as a workflow card. Click Open in builder and the whole thing drops onto the visual canvas — trigger, bots, and the Slack step, already wired in order. Tweak anything, then save.

The key detail: when you mention your bots, HiveMind wires them in as real Bot nodes — each one runs that bot with its full toolset, memory, and sub-agents. It's not flattening your agents into generic prompts; it's composing them.

The node palette

Every workflow is a graph of nodes you connect on the canvas:

  • Triggers — start the run: a webhook, an inbound email, or a schedule (cron).
  • Bot — run one of your existing bots as a single step. This is the swarm primitive.
  • AI — a raw model call (Fast / Standard / Smart) for classification, summarizing, or transforming.
  • Logic — condition, switch, loop, and filter nodes that branch the flow.
  • Apps / Data — call Slack, Gmail, Notion, GitHub, a database, or any HTTP endpoint.

It runs on its own

Add a Schedule trigger with a cron expression — 0 9 * * 1-5 for 9am every weekday — and the workflow fires automatically. Every scheduled run is rate-limited against your plan, recorded with per-node output, and billed transparently.

text
0 9 * * 1-5 → 9:00am, Monday through Friday */30 * * * * → every 30 minutes 0 0 1 * * → midnight on the 1st of each month

Transparent by the token

AI and Bot steps consume credits (1 credit = 1,000 tokens), drawn from one shared monthly pool across HiveMind, your bots, and your workflows. Complex runs that lean on tools cost more; trivial ones cost almost nothing. You can watch it all on the Usage page — no mystery, no surprise overage.

Start building

The fastest path is to just ask HiveMind. The most control is the visual Orchestrator. Or import a ready-made template and customize it. However you start, your agents stop being islands and start being an operations team.

Workflows are how a collection of bots becomes a business process.

How to apply this inside Bothive

The practical move is to turn the idea into an agent contract: what the agent can see, what it can do, where it should ask for approval, and how the team will inspect the result. A good Bothive workflow is not just a prompt. It has memory, tools, channels, traces, and a clear boundary between autonomous work and human judgment.

Define the boundary

For product work, decide which decisions the agent can make alone and which actions need a teammate in the loop.

Attach real context

Connect docs, customer data, repositories, tickets, calendars, or APIs so the agent works from grounded information.

Ship through a channel

Expose the agent through web chat, API, Slack, WhatsApp, schedules, or internal workflows depending on where the work starts.

Watch the run

Use traces, tool-call history, usage, and failure logs to improve the agent after it meets real users.

01

Build

Turn the idea into a readable agent contract, workflow, or builder graph.

02

Deploy

Run it through Bothive channels, schedules, integrations, and API calls.

03

Observe

Use traces, usage, memory, and tool logs to improve the system over time.

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Workflows: Orchestrate Your Swarm Visually