Vendor-neutral guides for leaders and teams putting AI to work — strategy and rollout, marketing and sales, operations, and the governance that keeps it safe. Built on what actually returns, not vendor decks.
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Work out what an AI model actually costs per month from your token usage, and compare the major models side by side.
Free toolPaste any text to estimate how many tokens it uses, and see what that text would cost to send to each major model.
Free toolCompare a flat monthly chat subscription against the equivalent API usage and find the break-even point where one overtakes the other.
Free toolFour questions about your task, budget and experience — then a recommendation and the guides to go with it.
Where to start with AI in a business, which processes are worth automating, and how to bring a skeptical team along.
3 guidesRolling out AI assistants with the right guardrails, building an internal knowledge base, and proving the time saved.
3 guidesAI content and SEO that still earns trust, outreach that is not spam, and where AI belongs in the sales pipeline.
3 guidesUsing AI creative without diluting your brand, faster ad testing, and keeping generated assets on-brand.
3 guidesAutomating back-office work, wiring AI into your CRM and helpdesk, and knowing when to build versus buy.
3 guidesAI usage policy, measuring real ROI, and the privacy, security and compliance that keep you out of trouble.
A quarter-by-quarter plan to move a 100-to-1,000-person company from ad-hoc experiments to measurable AI returns.
A phased playbook for putting an AI assistant in front of a whole team without leaking data or losing control of how it's used.
Most AI policies are unenforceable wish lists. Here is how to write one that holds up when something goes wrong.
A grounded look at which back-office tasks AI handles well in 2026, how to phase it in, and where a human still has to sign off.
A practical path to an assistant that answers questions from your company's real files, plus the mistakes that quietly wreck it.
A practical governance model for putting AI creative into market while keeping your brand recognizable and defensible.
Most AI advice aimed at business is either vendor marketing or breathless futurism. Neither helps a manager decide what to pilot on Monday, or a CFO decide what it is worth.
We focus on the unglamorous parts that actually determine returns: picking the right first use case, rolling it out without a security incident, measuring whether it saved money, and writing the policy that keeps you out of trouble. Where we cite figures like model prices, they live in one date-stamped table you can verify on the model pricing page (last checked 20 July 2026).
Read more about who we are and our editorial standards.