Doctrine and moats
Five methods to frame a decision and seek the next evidence.
Post-AI moat diagnostic- Doctrine and moats · Y01
What Still Matters in SaaS When Code Becomes Abundant: Lessons From 208 Founder Conversations
Lessons from 208 SaaS founder conversations on defensible advantages after AI: distribution, workflow, trust, legitimate data and learning speed.
Read the method → - Doctrine and moats · Y02
Code Is No Longer Your Moat: Six Defensible Advantages in the AI Era
When features can be copied quickly, defensibility moves to distribution, workflow, trust, legitimate data, learning loops and team density.
Read the method → - Doctrine and moats · Y03
The SaaS Founder's Job Before and After AI
The founder does more than save coding time: they orchestrate evidence, distribution, trust, quality and decisions.
Read the method → - Doctrine and moats · Y04
If a Product Is Easy to Build, Can It Still Be a Defensible Business?
A copyable feature can support a defensible business when distribution, workflow, trust, legitimate data and learning compound around it.
Read the method → - Doctrine and moats · Y05
Why Bootstrapped Teams Should Run No More Than Three Experiments at Once
Limit work in progress to three experiments to reduce context switching, accelerate decisions and retain learning.
Read the method →
A human review of your brief
Prepare a summary, review it and email contact@yumea.fr. No response time is guaranteed at this stage. The Tsuno CRM connection remains subject to validation; no automatic transfer is active.
contact@yumea.frEditorial owner: Yumea · Published and reviewed on 2026-10-16 · Next review 2027-01-15