The Marketing advice you need in the age of aI

When I fed the same 100-page technical PDF to seven different AI summarizers, Quillbot missed 4 of the 10 key findings I had manually identified. ChatGPT-4o caught 9 of 10 — but hallucinated one data point that wasn’t in the document at all. That single test reshaped how I think

When I gave all four leading AI coding tools the same 47-line buggy Python function — a rate limiter with a race condition buried in its async logic — Cursor with Claude 3.5 Sonnet found and fixed it in 11 seconds. GitHub Copilot suggested a patch that made the bug worse. Codeium

I ran the same 12-task benchmark across all eight major AI chatbots last month — coding challenges, legal document summaries, creative fiction, live research queries, and basic math proofs. The result that surprised me most: Perplexity AI outscored ChatGPT on factual accuracy for

I spent a full work week with Notion AI toggled off, then another full week with it on — tracking every task where I reached for an AI tool. The result: I saved 4.2 hours in week two. But here’s the catch — about 60% of those savings came from just two features, and one of them w

I ran the same 50-prompt batch through Midjourney v7, DALL-E 3, Adobe Firefly 3, Stable Diffusion 3, and Ideogram 3 last month. Midjourney won 34 of 50 on blind aesthetic scoring by a panel of five designers — but it came dead last on text rendering accuracy and lost to Firefly 3

When I ran the same 500-word blog post brief through eight AI writing tools, Claude finished in 41 seconds and produced zero factual errors. Jasper took 68 seconds and hallucinated a statistic about email open rates. ChatGPT split the difference — fast, mostly accurate, but struc