Shippedthe blog.

Software didn’t lose its head. The head moved.

When the workspace becomes the cockpit, the rules for moats change. a16z named most of the new ones. There’s one more.

Roadmap says agents. Build room says source of truth.

Why most 2026 AI launches slipped on translation, not technology.

The missing layer in every agentic AI stack

Salesforce told you who they are and where Claude fits in. They didn’t tell you who the signal layer is.

The 30% you don’t automate is the product

When you think of Voice Agents in Customer Conversations - Containment is the easy number. The handoff is the one that survives the QBR.

Workflows or autonomy: which “agent” did you actually ship?

Most production “agents” are workflows with one LLM in the loop. That’s frequently the right architecture. The bug is the label.

Watch the mechanism, not the average

The CFO’s AI-ROI debate is the same shape as the macro one. The useful move is to ask which lever each side is actually measuring.

The Other Half of AI Adoption

OpenAI and Anthropic showed up at the boardroom on the same day. Something else needs to show up at the desk.

Couch to Claude

A 14-day plan. Two weeks. Ten minutes a day. Real work, not exercises.

Voice AI Doesn’t Have a Per-Minute Cost

Capture or Assume?

The question every AI tooling decision actually turns on — and the rule that replaces build vs. buy.

Sales Organizations : Hierarchy to Intelligence

A thought provoked from reading a recent Sequoia essay on organisational intelligence. The question it ends on lands hardest in the workflow I think about every day - Sales and Rev…

6 Questions I Ask Every Company About AI

From real transformation engagements — what I've learned to ask first, and why the answers reveal more than any audit.

The Menu Is Gone

When anything can be built on demand, the moat moves from what you’ve made to what compounds through the making.

The Knowledge SaaS Left Behind

Systems of record captured what was decided. The third and fourth knowledge layers capture how — and why.

The AI Agent Pricing Map: Seven Models, One Market, No Convergence yet...

Claude Managed Agents: Is this for everybody building Agents?

The Coding Sessions you should be learning from

Every coding agent session contains useful signal about how you work. Most of it disappears when the session ends. Here’s a structured way to capture it.

The AI Layer in M&A: What Operational Due Diligence Must Assess Now

For decades, operational due diligence has evolved to absorb the dominant transformation wave of its era. AI is the next one — and for non-tech companies, the framework for assessi…

Designing a Skill That Interviews

When an AI agent’s job is to engage with a human and extract structured intelligence, the design problem is fundamentally different. Here’s what is required — and why each consider…

Tokens Are Not Outcomes

Token spend is becoming the "usable" measure of AI productivity inside engineering orgs. It’s a useful signal. Here’s what it takes to turn it into something you can actually act o…

Develop Agent Skills Like Software

Your rep just left a customer meeting. A voice agent intercepts them. Four minutes later, the deal intelligence is captured — or it isn't. That depends entirely on the skill drivin…

The Skills Trap: Why Building Your Own Is the Only Thing That Compounds

Everyone is sharing AI skills. Almost nobody is asking whether using them is actually making you better — or when borrowing is perfectly fine.

The Wisdom Your Model Can’t Train On

Every rep on your team has access to the same foundational AI. The question is what they bring to the conversation that the model alone cannot — and how you make sure that advantag…

You Hired Someone Brilliant and Never Told Them Your Name

Most managers aren’t getting value from Claude because of a prompting problem. It’s a setup problem. And it’s fixable in an afternoon.

Your Pricing Model Is a Confession

The gap between “AI-native” positioning and seat-based pricing isn’t a lag. It’s a signal. What you charge for reveals exactly what your product believes it can be held accountable…

The Ground Is Rising

AI capability improves faster than most teams build. The PM playbook built for stable technology needs to be rebuilt for an exponential.

The Loop You Can’t Automate

AI agents have compressed the build cycle. What they haven’t changed — and can’t — is the triangle of principals that determines whether software actually succeeds. The product man…

AI Product Onboarding Videos - What should the focus be?

Every product team makes help videos. Almost none of them solve the actual problem — which isn't that users don't know where to click. It's that they have no idea what kind of thin…

AI products have failure modes. PMs need a new language for them

The vocabulary we borrowed from software engineering is quietly sabotaging how we build, communicate, and ship AI products.

The Onboarding Problem with AI Products

When a user walks away from your AI feature confused, disappointed, or suspicious — you have failed at the most basic job of the product builder: setting honest expectations before…

Managing the Cold Start Problem in AI Product Rollouts

Launching an AI product with no data isn't a model problem. It's a product strategy problem — and most PMs don't see it until they're already in production.

Evolving Landscape for Product Managers

The org chart is being redrawn. For product managers, this is a fork in the road — not a threat to manage.

The Pause Between Sprints Is Where the Product Gets Real

AI makes building effortless — and sales avoidance invisible. Here's how technical founders recognize the trap and break out of it.

What AI Startups should think about pricing Differently

What an AI MVP Actually Needs to Prove

Injecting AI into a manual workflow isn't a feature problem. It's a data and quality problem. Here's what we learned about where the real adoption blockers live — and what your MVP…

The Product Managers Role Is Shrinking - Are You on the Right Side of It?

The gap between “product thinking” and “product building” is closing. PMs who stay upstream are becoming irrelevant.

What Building a Platform Solo Actually Teaches You About Product

I spent six weeks talking to five founders who built their platforms alone — from first line of code to first paying customer. No team. No PM. No handoffs. What they learned will c…