A complete architecture for running specialized AI agents — researcher, writer, moderator, analyst — that coordinate through Discord channels, hand off context through structured messages, and scale horizontally without a single monolithic bot.
A monolithic bot tries to be everything — researcher, writer, moderator, analyst. It hits context limits, tool conflicts, and prompt drift. The more skills you add, the worse each one gets.
A single bot with 20 tools, 15 skills, and a 100KB prompt hits the context limit before the complex task even starts. The researcher's findings push out the writer's style guide. The moderator's rules crowd the analyst's schema. Splitting agents gives each its own focused context.
The researcher needs web search and PDF reading. The writer needs image generation and Notion. The moderator needs Discord gateway and Linear. Putting all capabilities in one agent means it carries every one of them on every turn, and picks the wrong one when their instructions overlap.
Agent A posts a summary. Agent B doesn't know it's for them. Agent C replies to the wrong thread. The handoff protocol — structured messages in dedicated channels with automatic routing — makes coordination reliable instead of hopeful.
Define agent roles, assign channels, set up two-stage routing that sends each message to the right specialist, and let agents hand off through structured messages. No custom code, just configuration.
Three outcomes: each agent specializes, handoffs are explicit and auditable, and you add capacity by adding agents — not by stuffing more prompts into one context window.
The router names the owning agent with a confidence. Below the threshold, or between two plausible owners, it declines to route rather than picking the convenient answer.
From, to, payload, confidence, source message id. Every handoff, every time — so a dropped job shows up in the log instead of being inferred from silence.
Overloaded agents, idle agents, and handoffs still sitting in queue past the stale window. The workflow tells you whether the next increment is another agent or a better handover.
Are you ready?
All without you getting tasks done on manual, missing out the opportunity you want, or putting your hard work in vain.
Try it with Zaira nowThe practical questions people ask before splitting their bot into a team.
Two stages. First it reads the incoming message and channel and picks the right skill — 'research' vs 'write' vs 'moderate'. Then, given that skill, it picks the specific action. It learns from your corrections: when you override a routing decision, it updates its choices from there.
Each agent gets its own toolkit. If Researcher needs web search and Writer also needs it, both have it. The cost is some duplicated setup — but that's the price of isolation, since an agent can only reach what it's been given. For expensive or sensitive capabilities, create a dedicated agent that others hand off to.
Yes. For a product launch: Researcher gathers specs in #agent-research, Writer drafts announcement in #agent-writing, Moderator preps FAQ in #agent-mod — all triggered by the same 'launch' event in #orchestration. They converge at the final review handoff.
Every handoff is logged with where it came from, where it went, what was passed, how confident the routing was, and when. Check #agent-escalation for low-confidence routes. Hand-offs are validated on the way out, so a mismatched payload is caught before it reaches the receiving agent.
No. All agents run through Zaira's single Discord gateway. The gateway routes events (messages, reactions) to the correct agent based on the channel and what that channel needs. One gateway, many agents.
Same Zaira plan. You pay for compute, not agent count — and running four focused agents often costs less than one agent carrying everything, because each only loads the context its task actually needs.
Discord gateway connection