Grounded, not guessed
Every bee queries the data before it answers and reports only what the numbers show — citing them. Inconclusive is a valid answer; invention isn’t.
Swarm turns a question into an investigation. Your agent — the conductor — poses a task; a swarm of small, fast models fans out over your data, each querying it directly and reporting back a grounded, cited finding. The conductor judges. No hallucinated answers — just what the data shows, from many angles at once.
p99 latency rose 41% at 09:12 — the deploy window overlaps.
No regression in EU — the rise is confined to one region.
One tenant’s retry storm explains most of the spike.
Every bee queries the data before it answers and reports only what the numbers show — citing them. Inconclusive is a valid answer; invention isn’t.
Send angles, not just questions: one bee confirms, one refutes, one hunts the alternative explanation. You get a many-perspective read, not a single model’s take.
The conductor poses the task and judges the findings. The fan-out runs on small, fast models — broad investigation at a fraction of frontier-model cost.
Each bee is confined by a policy: it physically can’t read data outside its scope. Point it with a focus; fence it with a key.
A standard MCP tool for agents, an HTTP service with async jobs and a searchable feed of past findings, or a CLI.
The same swarm runs on a laptop or a many-worker GPU box. Dev and prod behave identically — repoint one URL to scale.
Weak bees, made useful by grounding — and a strong conductor.