Blog
Field notes for the AI-native company.
Analysis, patterns, and sharp observations from the work of building with AI.

AI Adoption
What Is Tribal Knowledge? How to Capture It With AI (Examples + Checklist)
How to go from "go ask so-and-so" to a company brain anyone can ask, before so-and-so leaves.

AI Strategy
What Do You Do With the Other 90%?
A head of AI says 10% of employees account for 90% of reported AI gains. Before anyone decides what that means for everyone else, it's worth checking what the number measures.

AI Strategy
The PHP Crisis Was a Decision-Making Crisis
What a stalled security fix in the software behind most of the web says about how teams make hard decisions.

AI Adoption
We Need to Talk About Slop
We surveyed our team about AI slop: how they define it, how they spot it, and how often they get wrongly accused of it. Here's what they told us.

AI Adoption
How Tenex Helped WebFX Build Claude Fluency Across the Whole Company
How a four-week diagnostic and training sprint took WebFX from company-wide Claude adoption to company-wide Claude fluency, with 300 people in Claude 101.

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.