Blog
Field notes for the AI-native company.
Analysis, patterns, and sharp observations from the work of building with AI.
AI Adoption
How Tenex Helped Advantage Solutions Roll Out Claude and Give Frontline Managers 70,000 Hours Back
Tenex helped Advantage Solutions stand up an AI Office and roll Claude out to thousands of users, returning 70,000+ labor hours a year to frontline managers.

AI Adoption
HyperFrames Studio: Beginner's Guide + Honest Review (2026)
How to get started with HyperFrames Studio, HeyGen's free AI video editor: setup, 5 real builds, free prompts, and an honest good/bad/ugly verdict.

AI Engineering
Does Your AI Agent Actually Work? A Guide to Eval-Driven Development
Hand-testing a few prompts won't tell you if an agent is ready to ship. Learn the building blocks every eval platform shares, and a five-step loop for turning production failures into tests that keep them from coming back.

AI Adoption
How to Build a Claude Skill by Letting Claude Interview You
I thought Claude connectors were bloat until I needed one. Here's how I built a Claude skill in my first week working at Tenex — plus the template I'm giving away so you can build your own.

AI Engineering
Kimi K3, explained: how forgetting made the biggest open model possible
K3's answer is selective memory: preserve exact history in some layers and let the rest update a fixed state. That is how forgetting made a model this large practical.

AI Governance
The Citizen SDLC
A six-stage lifecycle that takes what non-technical employees build with AI from personal prototype to production the whole company can rely on.

AI Fundamentals
The Machine That Learned to Pay Attention
Part B of the series: follow one ambiguous word through a transformer, station by station, from tokenizer to attention to the dice roll that picks the next word — plus the remodels and challengers reshaping modern models.

AI Fundamentals
Vectors Are All You Need
Part A of a series that builds modern AI from the ground up: how words become vectors, why the dot product runs everything, and how a machine learns by nudging numbers until it stops being wrong.