D1
Entities
Model your business as nouns. Customer, contract, session, asset. Defined once, used everywhere.
customerscontractssessions
─ THE FRAMEWORK APPLIES DIFFERENTLY TO:
FOR LEAN TEAMS · 1–10
The blueprint.
If you're building lean from day one, the framework is your blueprint. You haven't accumulated the bloat yet — so you're not unwinding anything. You're just building the right foundation, the first time.
- —Start with the data layer before you write the first agent.
- —Pick the 3 workflows that replace the next 3 hires.
- —Stay deliberately small while shipping like a much bigger team.
LAYER 01
Build a Data Native foundation.
Most teams skip this and wonder why AI doesn't stick. Clean inputs. Defined entities. Events you can replay. Single source of truth for customers, contracts, conversations.
D2
Events
Every state change is an event you can replay. The operating spine for AI to act on.
signedpaidchurned
D3
Sources
One source of truth per concept. No competing CRMs. No conflicting spreadsheets.
crmbillingcomms
D4
Audit
You can answer "what does this customer know about us?" in one query, today.
logsreplaysnapshot
LAYER 02
Then layer AI Native on top.
With a real data layer, agents can actually operate. They read ground truth, draft, decide, route, act. The org chart flattens. Systems do the coordination.
A1
Agents
Specialized workers that read the data layer and act. Not chat. Operators.
routerdrafterqualifier
A2
Rules
Explicit policies the agents respect. The guardrails between "automated" and "out of control".
policysafereview
A3
Memory
Long-running state per customer / project. The thing that makes the agent feel like a person.
per-threadrecallstate
A4
Eval
The new QA. Every agent has a scoring rubric. You measure outputs, not vibes.
scoringreplayshadow
STACKED · LAYER 01 + LAYER 02You stop measuring by headcount.
You stop measuring by headcount.
You start measuring by leverage.
With both layers in place, the org chart flattens. The systems do the coordination. You ship more with less, and you can prove it — because the events are replayable and the agents are evaluable.
HEADS THEN
8.4
HEADS NOW
3.1
OUTPUT
+312%
HOW WE TEACH IT
Three tracks. One framework. All free.
The framework is the intellectual backbone of the platform. Locking it behind a paywall would defeat the point — so we don't.
Data Native — Foundation
Build the data layer before the AI layer. Entities, events, single sources of truth.
18 lessons · 4 weeks · asyncStart track →AI Native — Operator
Layer agents on the data foundation. Routing, drafting, deciding, eval.
24 lessons · 6 weeks · async + cohortStart track →Restructure — Executive
For leaders restructuring around systems. Org design, role audits, transition plans.
16 lessons · 8 weeks · asyncStart track →