Skills, plugins, connectors and MCP: what each one actually does
A practical way to decide whether you need to teach AI a method, connect an account or expose a tool.
Read the guide →AI at work, without the launch-day fog.
Clear decisions about tools, connections and processes. Written for people who need to improve work, not collect acronyms.
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8 practical guides
Every guide states when the idea is useful, when it is not, and which official sources support it.
ChatGPT, Claude, Codex or Lovable: where each tool fits at work
Stop asking which AI is best. Identify the work, environment and degree of control you need.
Read the guide →Organize the process before asking AI to automate it
A lean method for turning a messy routine into a workflow that can be delegated, measured and improved.
Read the guide →Instagram, Facebook and Threads in a business workflow
What Meta platforms can contribute to an operation, and why automatic posting is only a small part of the job.
Read the guide →How to connect Drive, Slack, CRM and email to AI without granting too much access
A practical method for choosing permissions, starting with read access and keeping sensitive actions under review.
Read the guide →From meeting to follow-up: an AI workflow that improves delivery without adding another system
Turn meeting decisions into owners, deadlines and next steps without maintaining a parallel operation.
Read the guide →Seven company routines that can become reusable AI skills
Concrete recurring work that can be packaged as instructions, decision rules and consistent outputs for AI.
Read the guide →Lovable and Codex in the same project: where prototyping ends and development begins
Use visual speed and repository-oriented work together without losing decisions, tests or technical ownership.
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