Latest Analysis

Search Is Free Now.
Meaning Still Costs You.

MongoDB moved native search and vector search out of Atlas and into the free Community Edition. Here’s what that changes, and what it still leaves ungoverned.

Alexander Braun · 8 min read

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The Teammate You Can’t Fire Owns the Memory

Claude Tag turns AI into a shared team member. Genuinely useful. Also the most elegant lock-in architecture enterprise software has produced in years.

Alexander Braun · 9 min read

Welcome to the Ontology Layer, Databricks. Here’s What You’re Still Missing.

Genie Ontology is genuine progress. Three analysts flagged what it still doesn’t solve, and why context isn’t the same as correctness.

Alexander Braun · 7 min read

Satya Nadella: The Learning Loop Is the IP

Nadella outlined the defining strategic challenge of the AI era for enterprises. Here’s why it points directly to a semantic governance layer.

Alexander Braun · 16 min read

All posts

MongoDB: Search Is Free Now. Meaning Still Costs You.

MongoDB brought native search and vector search to the free Community Edition. Here's what changes, and what still requires a governed semantic layer.

Alexander Braun
8 min read

Anthropic: The Teammate You Can't Fire Owns the Memory

Claude Tag is useful, proactive, and async. It's also the most elegant lock-in architecture enterprise software has produced in years.

Alexander Braun
9 min read

Welcome to the Ontology Layer, Databricks. Here's What You're Still Missing.

Genie Ontology is a genuine step forward. Three analysts explain why context isn't correctness, and what a governance-first architecture closes.

Alexander Braun
7 min read

Satya Nadella: The Learning Loop Is the IP

Nadella just outlined the defining strategic challenge of the AI era for enterprises. Here's why his architecture requirement points directly to a semantic governance layer.

Alexander Braun
16 min read

a16z: The System of Work Is the Moat

a16z draws the line between what labs already own and the vertical complexity that compounds into a durable enterprise moat.

Alexander Braun
11 min read

Essay · Part 1

Karpathy's Approach To Knowledge Bases. And Why It Won't Solve Your Company's Problem.

The architecture of enterprise AI cost, and why the savings your AI team is excited about won't fix the bill on your desk.

Alexander Braun
7 min read

Essay · Part 2

Three Layers of AI Token Waste in the Enterprise

A taxonomy for CFOs who can't tell which fix to buy, and why buying the wrong one means paying twice without solving the original problem.

Alexander Braun
7 min read

Essay · Part 3

What Your Wiki Will Actually Cost at Enterprise Scale

The cost math the wiki posts skip, run at three scales, with assumptions you can challenge.

Alexander Braun
8 min read

Sequoia: Sell the Work, Not the Tool

Sequoia maps the $1T shift from AI copilots to autopilots — and why every outcome-based service still needs a semantic governance layer.

Alexander Braun
11 min read

a16z: The Context Layer Is the Stack

a16z mapped the infrastructure gap blocking enterprise AI. Here’s what the problem they identify demands in practice, and how LazyFox closes it.

Alexander Braun
9 min read

a16z: Every Company Is Drowning In Its Own Documents

Jennifer Li names data entropy as enterprise AI’s real bottleneck, and why document governance is the infrastructure layer that determines whether NL reporting works.

Alexander Braun
11 min read

Foundation Capital: The Decision Trace Is the Record

Foundation Capital argues context graphs are AI’s trillion-dollar opportunity. Here’s why the semantic governance layer is the foundation they require to be reliable.

Alexander Braun
11 min read

CDOTrends: The Data Is There. Your AI Gets 1% of It.

IDC puts a number on what data teams already know. Less than 1% of enterprise data reaches AI. The gap is structural, not a model problem.

Alexander Braun
10 min read