Curiosity looks good on you.
Clear explanations, practical choices and a little more confidence with AI.
What is Grok Bot? Practical workflows for marketing, product, and everyday operations
Understand Grok Bot’s connected workflows, routines, and templates, with practical examples and a method for testing whether a bot is useful.
Get a little wiser ↗AI IN PRACTICEConnect your AI builder to GitHub, Railway, and Supabase—with a clear job for each
Understand the connections behind an AI-assisted app and use a small saved-resource tool to test repository, deployment, and database access.
Get a little wiser ↗GETTING STARTEDBuild your first useful AI workflow: one task, one review, one repeatable result
Choose a bounded job, practice with fictional data and turn a promising draft into a process you can repeat.
Get a little wiser ↗MEETINGS & FOLLOW-UPAn AI meeting action-plan template that keeps decisions separate from guesses
A worked fictional example for extracting owners, dates, dependencies and unresolved questions.
Get a little wiser ↗COST & VALUEBuild an AI tool stack within a monthly budget
Compare the complete cost of seats, billing periods, usage and upkeep before adding another subscription.
Get a little wiser ↗WORKFLOW DESIGNShould this task use a prompt, an automation or an AI agent?
Choose the smallest approach that can complete the work with clear checks and ownership.
Get a little wiser ↗TOOL EVALUATIONThree AI tools, one task: a repeatable test you can explain
Use the same input, count the review work and keep the evidence behind your choice.
Get a little wiser ↗CHOOSING YOUR TOOLSChatGPT vs Claude vs Gemini: how to choose for real work
Compare three AI assistants with the same task, a simple scorecard and a clear spending decision.
Get a little wiser ↗BETTER EVERYDAY WORKAI meeting notes: turn a transcript into an action plan
Create a useful follow-up with decisions, owners, deadlines and evidence—without turning suggestions into commitments.
Get a little wiser ↗THE CONTENT WORKSHOPRepurpose a webinar with AI: a practical content workflow
Turn one approved recording into a useful clip, an article outline and an email draft while keeping the original meaning intact.
Get a little wiser ↗PRACTICAL AUTOMATIONHow to build an AI customer support chatbot from your FAQs
Scope a small support assistant, prepare its sources and test the answers before putting it in front of customers.
Get a little wiser ↗START HEREMCP, without the alphabet soup.
Think of MCP as a shared way for an AI application to discover and use tools and context provided by another system.
Get a little wiser ↗THE BUYING GUIDEA good stack starts with less.
Choose tools around one job you need to finish. More connections mean more setup, more upkeep and more things to understand.
Get a little wiser ↗CONFIDENCE, BUILT INRead the permissions. Keep the control.
A useful connection should get the access it needs for the task—and no more.
Get a little wiser ↗KNOW YOUR TOOLSServer, plugin, connector or agent?
They can work together, but they are not interchangeable. Start with the role each piece plays.
Get a little wiser ↗THE HELP DESKConnected… but not working?
Debug one layer at a time. Keep credentials out of troubleshooting screenshots and shared logs.
Get a little wiser ↗OUR STANDARDWhat our labels actually mean.
Useful information should come with its source and its limits. Here is how to read this first edition.
Get a little wiser ↗THE REPOSITORY FIELD GUIDEA GitHub star is a starting point.
A repository can contain an app, an MCP server, a framework, a skill or just examples. Work out what you are looking at before you install it.
Get a little wiser ↗THE PROMPT PLAYBOOKGive your prompt a job to do.
A useful prompt is a clear brief: a task, relevant context, a usable output and a way to judge the result.
Get a little wiser ↗