Topic
Build AI into your work
Step-by-step guides for putting AI on real work, from choosing the first task to deciding whether to keep it.
Whether you run a business, work on a team, or are building a startup, the approach that works is the same. Pick one task that already takes too long, test AI on it alongside the way you do it now, and decide based on what you see.
These guides walk through each step: choosing the workflow, running a short pilot, naming who owns the output, and measuring time, mistakes, and whether people trust the results. There are guides written specifically for employees and for founders, too.
- Core guideHow to put AI into your small businessA practical roadmap for owners. Choose one job, write down how it runs today, test AI alongside the old way for a week or two, and expand once it proves itself.
- GuidePick the first workflow: pain × low riskList the work that’s already causing problems, rate how much damage a bad AI draft could do, and choose one workflow to start with.
- GuideShadow-mode pilots in one to two weeksHow to test AI on a real workflow safely. Keep the current process running, compare the AI’s drafts against it, and review anything before a customer sees it.
- GuideWhat to measure without fake ROITrack how long the task takes, the specific mistakes you catch, and whether your team trusts the drafts. Skip the made-up percentages.
- GuideBuild an AI workflow into your own jobFor employees who want AI agents helping with their day-to-day work. Check what’s allowed, pick a task you own, set it up properly, and share what works.
- GuideLaunchpadOS and AgentOS in plain wordsWhat LaunchpadOS and AgentOS do for a small business or growing team, explained without jargon. Tools, an orchestrator, and the screens your team works from.
- GuideGrowing a startup with AI agents before you hireFor founders doing every job at once. How to hand recurring work to AI agents, write your processes down as you go, and keep costs from creeping up.