Latest Thinking
Insights on AI automation, LLMs, and modernizing workflows.
Your First AI Pilot: A Step-by-Step Guide for SMBs
Most companies approach their first AI pilot backward. Here is a practical playbook for SMBs to define scope, establish baselines, mitigate risk, and evaluate results.
AI Readiness Assessment: A Practical Framework for Smart Businesses
Jumping straight into an AI build without checking your foundation is a fast way to burn cash. Here is our practical AI readiness framework, checklist, and scoring rubric to audit your organization before you build.
How to Create an AI Strategy Aligned with Business Goals
Most companies dabble with AI, but few have an AI strategy tied to business goals. Here is a practical 8-step framework to build an AI plan that drives real profitability over the next 3 to 12 months.
Starter AI Agents for Business Leaders
As a business leader, repetitive tasks eat up your day. Here are seven starter AI agents—from company wikis to chief of staff briefings—to help you turn scattered workflows into automated leverage.
Vibe Coding vs. Agentic Engineering
Vibe coding gets you to 80%. Agentic engineering gets you across the finish line. Learn the key concepts—observability, security, QA, and evals—that separate prototype from production.
AI Transformation Process
We've been thinking a lot about AI transformation recently. Most companies are dabbling with AI. Many have a hodgepodge of AI initiatives. But few go through a true AI Transformation process. Here's our latest on our AI Transformation process. 6 phases from strategy to optimization.
What is an AI Agent, Exactly?
An AI agent is more than just a chatbot. In this post, we break down the key building blocks of AI agents—from tools and system instructions to memory and subagents.
Thoughts on Research Agents
A research agent is an invaluable tool for anyone looking to automate information gathering. Here is a practical guide on building, filtering, and refining a custom research agent.
Lessons From Building an AI Tool that is actually useful
A practical look at what it takes to build AI tools that actually are useful: simple architecture, clean context, clear scope, and the right model.