Practical knowledge for builders
Evergreen, no-fluff guides on the questions every AI and SaaS founder hits: metrics, pricing, compliance, sales and the real cost of building with AI. Written by the newsroom and, increasingly, by our expert partners: the specialists who work on these problems every day, publishing under their own name.
Custom AI assistants for your business: no-code power, real limits
Every major AI platform now lets you build custom assistants without code: your instructions, your documents, your tone. For an SMB this is the sweet spot between generic chat and expensive custom builds.
How to measure AI ROI: simple metrics that survive a skeptical CFO
Most companies cannot say what their AI spend returns, which is why pilots stall at renewal time. Measuring this does not require an analytics department: three numbers per use case are enough.
AI security risks for small businesses: the five that matter and how to close them
You do not need a security team to use AI safely, but you do need to close five specific gaps. Most small business AI incidents trace back to one of these, and each has a practical fix.
How to prepare your company data for AI (without a six-month cleanup project)
The most common excuse for postponing AI is 'our data is a mess.' Good news: you do not need clean data everywhere, only for the process you start with. Here is the pragmatic version of data readiness.
AI contract review for small businesses: what it catches and what a lawyer still does
Small businesses sign contracts constantly and read them rarely. AI contract review puts a first legal reading within everyone's reach. It is genuinely useful, as long as you know where its job ends.
AI in HR and recruiting for SMBs: faster hiring without losing the human touch
Small companies compete for talent against employers with whole recruiting departments. AI narrows that gap, if you use it for speed and keep judgment human. It is also the area where careless AI use carries real legal risk.
AI in accounting and bookkeeping: what small businesses can automate today
Bookkeeping is repetitive, rule-based and document-heavy, which makes it ideal AI territory. Here is what reliably works today, and where a human still signs off.
AI for sales teams: more selling time, better follow-up, same headcount
Sales teams lose most of their week to everything except selling. AI attacks exactly that overhead: research, notes, follow-ups and CRM hygiene. Here is where it pays off first.
AI for small business marketing: what to automate and what to keep human
Marketing is where most small businesses meet AI first, and where the quality gap between good and lazy use is most visible to customers. Here is the division of labor that works.
How to write AI prompts for business tasks (with a formula that works)
The gap between a useless AI answer and a great one is usually the prompt. This is the simple formula professionals use, with business examples you can copy today.
Expert partners publish their playbook here, under their own name, in front of the founders who buy from them.