Blog

Claude Code in practice: how to actually get good at it

It's not about prompting. It's about building the system around the tool. Six months of daily usage distilled into the patterns that matter.

What happens when your sales team is three people and a fleet of agents

Ambient agents, signal-based outbound, and human-in-the-loop learning. A practical guide to AI-powered go-to-market for teams under 10 people.

The maintenance problem nobody talks about when they sell you on AI agents

SKILL.md files are static, but codebases, models, and user needs change constantly. A five step self-improvement loop keeps agent skills accurate without manual babysitting.

The five patterns behind every multi-agent system that actually works

A practical guide to sub-agents, agent teams, and the five orchestration patterns. Design around context boundaries, not org charts. Start simple, earn complexity.

The sales stack nobody talks about: fewer tools, more signal

The teams that close the most deals don't have the biggest stacks. They have the leanest ones. How to build a connected B2B revenue stack with seven layers and six tools.

Why the best teams are getting smaller, not bigger

The bottleneck has shifted from implementation to review. Generalists who combine product sense, design intuition, and engineering skill are now more valuable than specialized three-person teams.

Stop planning in straight lines

Most founders plan in straight lines. Idea, validate, build, launch, raise. But the best outcomes come from founders who hold multiple threads simultaneously and let them inform each other.

What nobody tells you after the first weekend prototype

The barrier to building has collapsed. AI tools let anyone ship a prototype in a weekend. But 70% of micro-SaaS businesses never cross $1K/month. Building is the easy part now.

Your agents will make mistakes. Build infrastructure that doesn't care.

Don't ban AI agents because they make mistakes. Build infrastructure that absorbs mistakes from both humans and agents. Preview deployments, instant rollback, feature flags, and more.

How 4-person teams outpace 40-person companies

Most teams use AI constantly but still operate like a traditional company. The reason is surprisingly simple: their AI lives in one place, their work lives in another, and a human sits in the middle copying and pasting between them.

Agentic engineering: a practical guide for teams that ship

How software actually gets built with AI agents. The workflows, patterns, and honest trade-offs from a team that ships this way every day.