Every tool and learning we've shared — useful things we've discovered along the way, written for small-business owners.
← Back to all resourcesMIT Technology Review reports 95% of enterprise AI projects fail — and the cause is not the AI. It is data foundations. Here is what small businesses need to fix first before deploying any AI agent.
TOOLA February 2026 Mercor study found every major AI agent failed most real workplace tasks. Here's why pure-LLM workflows break — and the deterministic-first approach that actually works.
LEARNINGBusiness texting registration is mandatory in the U.S. — and a failed compliance review costs $15 every time. Learn what reviewers check, what gets campaigns rejected, and how to pass on the first try.
LEARNINGA webhook that looks secure can be silently accepting anonymous traffic for months. Learn the common code pattern that breaks authentication, how to test for it, and what to ask your vendors.
LEARNINGCloud business tools run on stacks of API keys that multiply faster than most teams track. Learn how to store, rotate, and map key dependencies so a rotation never takes down your downstream services.
LEARNINGWritten rules get silently skipped, especially by AI assistants that are not deterministic. Learn why evidence-gated workflows — enforced by hooks, not prose — are how AI-assisted projects stay honest.
LEARNINGA cloud server is not set-and-forget. Learn the weekly, monthly, and quarterly routine that keeps a small-business server safe against automated bots, config drift, and unpatched vulnerabilities.
LEARNINGHow three latent issues combined to ship 309 cold emails in five hours. A postmortem — and the architectural patterns every cold-email operation should have in place to make the same failure impossible.