AI tools compared honestly: what they do, what they cost, when to skip them.
7 articles · Updated
The autonomous AI SDR market is full of bold promises, hidden pricing, and at least one genuine scandal. Here's what actually works, what the categories really mean, and how to tell whether you need one at all.
The AI lead-gen market has fractured into dozens of tools that each solve one piece of the puzzle. Here's what works, what it costs, and the one variable (data accuracy) that decides whether it pays off.
Seven AI agents tested on the same task suite: Manus, Devin, Operator, GPT Agent Mode, Gemini Workspace, Replit, Claude Computer Use. Two are genuinely useful today; the rest need a specific use case.
These three tools get compared as rivals, but they solve adjacent problems, and for most mid-market teams the right answer is a combination, not a winner. Here's the honest breakdown by team size and budget.
The five vector stores worth considering in 2026, what each costs, how fast it is, and the one question that decides most of them: do you even need a dedicated database, or is Postgres enough?
Six AI coding tools, one honest conclusion: there's no single winner, and the best developers pair two. Here's what each is actually for, what it costs, and which combination fits your workflow.
We tested seven AI writing tools on the same set of tasks. Three are great, three are fine, and one is genuinely worse than nothing. Here's how they stack up.
A weekly read on what changed in AI, written by humans, fact-checked twice. No hype, no filler.
Free. Unsubscribe in one click.