Project Red Pill · Guided DIY entry point
Your first owned AI Agent, without the full custom build.
Project Red Pill gives founders and operators a configured AI Agent connected to a basic Brain, with the guidance needed to begin building AI infrastructure they control.
The engagement
Stop renting intelligence. Start building your own.
Most people still use AI as a temporary chat session. They paste in context, get an answer, close the tab, and rebuild that context again tomorrow.
Project Red Pill creates a controlled entry point into AI ownership: a starter agent with a defined role, connected to the context that matters to your work.
This is not the full Delphi AI OS. It is a practical first asset for learning how a Brain and an Agent work together.
What is included
A defined starting point with a clear operating outcome.
- 01
Starter AI Agent setup
- 02
Basic Personal or Business Brain structure
- 03
Guided onboarding
- 04
Agent role and profile configuration
- 05
Simple usage guide
- 06
Monthly access and maintenance
Who it is for
Built for the right stage of AI adoption.
This engagement is best for
Project Red Pill is designed for operators who want a low-risk path into owned AI infrastructure before committing to a broader custom implementation.
- Founders and solopreneurs
- Independent professionals
- Small business owners
- Operators seeking a low-risk first step
Implementation sequence
A deliberate path from context to operation.
- 01Define
- 02Organize
- 03Configure
- 04Onboard
- 05Operate
The outcome
Begin with one useful agent and a Brain you can build on.
A starter system, intentionally scoped.
Project Red Pill does not include custom dashboards, multi-agent architecture, deep integrations, or enterprise governance. Those capabilities belong in Delphi's guided, buildout, and enterprise engagements.
Find your starting point
Begin with one useful agent and a Brain you can build on.
Project Red Pill is designed for operators who want a low-risk path into owned AI infrastructure before committing to a broader custom implementation.