CORNILIUS

// What stays consistent

Defined once. Applied every time.

Models improvise. Your definitions should not. Cornilius stores your method, your metric definitions, and your findings once, and loads the same set into every conversation — week after week, for everyone on your team.

Your method

The same playbook, the same steps — defined by you, loaded into every conversation. Your agent works from your procedure instead of improvising one.

Your metric definitions

How you define active users, churn, or a qualified lead is set once and loaded the same way every time — not re-invented each session.

Your memory

Past findings and open follow-ups come back exactly as you saved them, not re-derived from scratch.

Your trends

The same metric, tracked against the same definition across every period, builds a continuous history — so you see the real trend over time, not a re-derived snapshot each session.

Scheduled routines

Define a recurring analysis once — a weekly funnel scan, a monthly cost check — and it runs on the same cadence every cycle. Cornilius owns the schedule and reminds you when one is due; your agent runs it and files the finding to memory.

Your whole team

Everyone works from the same playbooks and definitions, so two analysts start from one method, not two.

Onboard any agent

Bring a new agent or model online and it reads your playbooks, definitions, and history straight from Cornilius — learning your business from the first message instead of starting blank. Your memory lives in Cornilius, not the model, so a model change does not wipe it.

A record of what ran

Every analysis is logged: what was run, who ran it, and when. A clear trail of what your agents did, not a black box.

The model does the reasoning. Cornilius makes sure it always reasons from your definitions and your history — never a blank page.

// What your agent gains

• Playbooks

  Encode your analytical procedures once. Your agent applies the same method across every conversation — whoever runs it, the analysis holds.

• Persistent memory

  Your agent remembers what it analyzed, what it found, and what is still open — across every conversation. The lessons compound; it never starts from scratch.

• Multi-tenant

  Strict tenant isolation by design. Every query, memory record, and playbook is partitioned at the database layer. Shared infrastructure, and no data crosses between businesses.