AGARTHA · DECISION LIBRARY
Content that turns uncertainty into a decision.
Three bilingual, sourced and actionable dossiers for Startup, AURA and Hub decisions. Every guide separates facts, the Agartha method, assumptions and boundaries.
EDITION 01 · AUGUST 2026
Choose the decision to improve.
Each dossier provides a direct answer, decision matrix, gates, verifiable sources and a distinct Agartha path.
From AI use cases to a bounded pilot decision
A practical method for deciding whether one AI opportunity deserves a limited test — without confusing experimentation with deployment, compliance or promised ROI.
- One observable workflow
- One evidence plan
- One reversible decision
What a startup must validate before building an MVP
An MVP should be the smallest product needed to test a decisive assumption — not the first expensive expression of an untested idea.
- One riskiest assumption
- One evidence ladder
- One MVP build brief
How to validate third-place economics before securing a site
A mixed-use innovation hub should prove paid demand, layer economics, regulatory feasibility and risk ownership before turning a building into a fixed commitment.
- Demand by layer
- Downside cash model
- Conditional site gate
PUBLISHING METHOD
An architecture designed for people and answer engines.
SEO/GEO does not replace credibility. It makes evidence clear, dated, structured and easy to retrieve.
- 01Answer first
The main answer appears before context and calls to action.
- 02Provenance
Every sensitive claim points to a source and review date.
- 03Boundaries
Method, fact, benchmark and assumption remain distinct.
- 04Action
The reader ends with a decision, not a generic promise.
Take the next step on what matters to you.
Form: about 3–8 min depending on the path · Human review
A question before you get started?
Let’s talk about your AI project.
Describe what you need to prepare a conversation. Agartha reviews each request before proposing a next step.
arnaudeste@icloud.com+33 6 70 61 58 20Agartha · Geneva