Vibe Coding With Claude Code and Codex: A Beginner's Guide
Vibe coding with Claude Code or Codex: what you need, your first session step by step, prompts that work, and how to keep it from breaking as it grows.
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Build a team around the work that matters.
Practical answers for founders, businesses and professionals building their first AI team.
What Is an Agentic Workforce? How to Build Your First AI Team
An agentic workforce is people plus AI agents with defined jobs and handoffs. Here's what that means and how to build your first AI team, step by step.
Read the article →How to Build an AI Org Chart: The First Four Roles to Fill
Building an AI org chart? Start with four roles: Marketing & SEO, Revenue & Growth, an Engineering Lead and a Product & Platform Engineer, and who owns what.
Read the article →Claude Code and Codex in One AI Team: How to Use Both
Why use Claude Code and OpenAI Codex together, how to split the work between them, and how to start with one and add the other to the same AI team.
Read the article →How a Solopreneur Can Run a Business With an AI Team
Running a one-person business? Here's how to hand marketing, growth and building to an AI team, and what you still do yourself, with a launch example.
Read the article →How to Build a Personal AI Team for Your Work
Build a personal AI team for your job: agents for research, analysis, drafts and presentations, shaped to your work and reviewed by you. Here's how.
Read the article →How to Use AI to Strengthen Your Case for a Promotion
Use AI to do higher-value work, document real results and explain your impact clearly. A practical, honest way to build your case for a promotion.
Read the article →How to Start a Business With an AI Team
Start a business with an AI team: find a real customer problem, test it, shape an offer, deliver a first version and reach customers, with you deciding.
Read the article →How to Streamline an Existing Business With AI Agents
Streamline your business with AI agents: map one recurring workflow, find where it waits, assign jobs and review points, and measure what improved.
Read the article →How Our AI Team Built Staffmor.com
Staffmor.com was built by AI agents with defined roles and one human owner making the calls. Here's who did what, and how the work was handed off.
Read the article →AI Team Workspace: How People and AI Agents Work Together
An AI team workspace is one office where people and AI agents share channels, tasks and review. When Slack or Teams is enough, and when Staffmor fits.
Read the article →Running AI Agents on Your Computer: What Stays Local
Running AI agents on your own computer keeps the workspace local, but model requests still go to your provider. Here's what stays, what goes, and why.
Read the article →What Is an Agent Harness? Why Setup Shapes What Agents Do
An agent harness is everything around the model: instructions, tools, memory, permissions and checks. Here's why it decides how well an AI team works.
Read the article →How to Write Instructions AI Agents Actually Follow
Good agent instructions are short, specific and checkable. How to write AGENTS.md and CLAUDE.md files, role prompts and rules that AI agents follow.
Read the article →How to Set Up an AI Agent Team: Context, Handoffs and Checks
Setting up an AI agent team means deciding what each agent sees, who owns each task, how work is handed off, and how it's checked. A practical setup guide.
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