Latest Analysis

The API Barrier Is Falling
and the Meaning Barrier Is Not.

Computer-use agents can now operate SAP and other legacy systems through the screen, without an API project. They still cannot tell which definition governs when SAP and Salesforce disagree.

Alexander Braun  · 10 min read
Read the analysis
Research

AI-Native ERP Solves the Wrong Problem.

Models did not get better at storing financial state. They got better at the work that happens before anything reaches a ledger.

Alexander Braun  · 15 min read
Research

Enterprise AI Still Doesn't Work.

The models improve fast. The companies using them do not. A process nobody redesigned, then definitions nobody ever wrote down.

Alexander Braun · 14 min read
Research

You Pay for AI Twice. Keep the Second Payment.

Nadella’s Reverse Information Paradox: to make a model useful you reveal the knowledge that makes you unique. The fix is a trust boundary you own.

Alexander Braun  · 6 min read

All posts

Sep 2026
Research
The API Barrier Is Falling and the Meaning Barrier Is Not.
Computer use lets agents operate SAP and legacy systems through the screen. Access is no longer the constraint. Knowing which definition governs is.
Alexander Braun
10 min read
Sep 2026
Research
AI-Native ERP Solves the Wrong Problem.
Your ledger stores the result of the work. Replacing it is the most expensive available way to avoid the problem you actually have: your systems disagree about what the words mean.
Alexander Braun
15 min read
Sep 2026
Research
Enterprise AI Still Doesn't Work.
The models improve fast. The companies using them do not. A process nobody redesigned, then definitions nobody ever wrote down.
Alexander Braun
14 min read
Jul 2026
Research
Satya Nadella: You Pay for AI Twice. Keep the Second Payment.
Nadella's Reverse Information Paradox says buyers now pay twice: once in cash, once in the knowledge they reveal to make a model useful. Here is where that trust boundary lives in your stack.
Alexander Braun
6 min read
Jul 2026
Research
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
7 min read
Jun 2026
Research
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
7 min read
Jun 2026
Analysis
Databricks now has an ontology. Four gaps decide whether you can trust it.
Genie Ontology is a real step forward. Three analysts explain why context isn't correctness, and what a governance-first architecture closes.
Alexander Braun
6 min read
Jun 2026
Research
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
7 min read
May 2026
Research
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
9 min read
Apr 2026
Essay · Part 1
Karpathy's wiki saves tokens. It won't fix your company's AI bill.
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
6 min read
Apr 2026
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
6 min read
Apr 2026
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
7 min read
Mar 2026
Research
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
8 min read
Mar 2026
Research
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
8 min read
Dec 2025
Research
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
10 min read
Dec 2025
Research
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
9 min read
Nov 2025
Research
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
9 min read
About this page

What is the LazyFox blog about?

The LazyFox blog covers enterprise AI, token economics, and the semantic layer — including responses to research and commentary from a16z, Sequoia, Foundation Capital, IDC, Databricks, Microsoft, Anthropic, and others.

Posts are written by the LazyFox team and generally take a third-party argument or data point and work through what it means for enterprises trying to get consistent, governed answers out of their AI stack.