In this edition, we dive headfirst into Claude's code-free Artefact app builder to see if we can build a proper LinkedIn content creation tool. Plus, a reality check on whether Grammarly's AI features actually help comms pros, and how ChatGPT’s Deep Research feature may save you hours of time.
I made the most of Claude’s latest app-building capabilities to create a tool that aims to offer several leading LinkedIn posting approaches as part of a structured, AI-powered workflow designed to save time and enhance engagement.
We tested Grammarly for 18 months across real client work: emails, proposals, newsletters. Is it the AI safety net every comms pro needs?
We put ChatGPT's new Deep Research feature through its paces with a real comms challenge. The results? Not perfect, but more than strong enough to prove its worth in certain situations.
The communications world is drowning in AI tool recommendations. Most appear to be written by people who've never actually used them. Our approach is different. Testing Models Every tool gets tested on communications work – the type we have actually done in the past, or that we are currently
Prompt engineering sounds sophisticated, but it's really just learning to ask AI systems better questions. Our approach focuses on what actually works for communications professionals. Real Scenarios, Real Constraints We produce and refine prompts on genuine communications tasks: press releases that need writing, crisis statements that need crafting,
When we build AI tools for communications, we're not trying to create the next unicorn startup. We're solving real problems that comms professionals face every day.
I'm here to experiment, fail, learn, and share everything along the way. Think of this as your comms insider's guide to figuring out AI together.