Let software agents do the busywork
Practical notes, patterns and tools for automating the repetitive parts of your work with AI agents.
See how it worksAgents you can put to work
Each of these is a small, focused agent with one job. Together they quietly take over the work nobody enjoys doing.
Inbox Triage Agent
Reads incoming email, labels it, drafts replies and flags anything that needs a human.
Reporting Agent
Pulls numbers from your tools every morning and turns them into a short summary.
Ops Agent
Watches your website, checks plugins and backups, and raises an alert before things break.
Research Agent
Searches, reads and compares sources, then hands you a cited brief instead of 20 tabs.
How it works
Almost every useful agent runs the same simple loop:
- TriggerA schedule, a new email, a form submission or a webhook starts the run.
- UnderstandThe agent reads the input and decides what the goal is.
- ActIt calls tools (APIs, spreadsheets, your CMS) to get the work done.
- CheckIt verifies the result and asks a human when it is not confident.
- ReportIt logs what it did so you can review, undo or improve it.
How much time could you save?
Plug in one repetitive task and see what it costs you over a year.
Questions
What is an AI agent?
A program that uses a language model to decide which steps to take and which tools to call to reach a goal, instead of following a fixed script.
How is that different from classic automation?
Classic automation follows exact rules (if this, then that). Agents can handle messy input, like free-text email, and choose between actions.
Is it safe to let an agent act on its own?
Start small: give it read-only access, require approval for anything irreversible, and keep a log of every action.
Where should I start?
Pick one boring, frequent task with a clear “done” state. Automate that, measure the time saved, then expand.