JH
Jonathan Haber

Alignment for your AI team

Keeping your AI agents aligned with what your people mean

When AI agents go wrong inside a company, the costly failures are often not bad code but a misunderstanding that compounds: a request misread, then built, tested against the same wrong target, and reported as done.

We bring a system that catches that drift at each moment it enters a working session, and configure it around how your company works: what is risky for you, what your people already know, and how strict each team wants it.

An expression of that intent

Open Coaching Knowledge

We took the knowledge IX Coach uses for coaching and made it free for anyone to read — the research that proves what works, mapped to the principles, and the principles to the modalities, across life coaching, the actualization of latent potential, therapy and spiritual inquiry. In under one second you get a ranked list of what is most relevant to whatever you are struggling with, or long to have more of.

It proves we can take a very nuanced, systems-theory range of perspectives and identify the critical vantage points which will work in concert to deliver real results.

Read it in order →or go straight to whatever you want to know below.

Start with a conversation

Tell us how your teams work with AI agents today, and we'll tell you where we'd expect drift to be costing you, and how we'd measure it.

What we'll discuss

Production Experience

5,000+ users served, 250% MoM growth systems

Technical Expertise

RAG, Agent Frameworks, Synthetic Data, LangChain

Deployment Speed

<24h from idea to production deployment

Role Fit

AI Founding Engineer, Staff AI Engineer roles

Schedule a call (1 hour)

Available immediately · Palo Alto, CA (PST)

The work behind this →