10 issues so far
Writing
Longer pieces on putting AI to work on ordinary tasks. Every article is an issue, and every issue gets its own cover.
6 tagged automation · show all
- A link that pings my phone when the work is doneA small relay that turns one link into a Telegram message. Why it answers before it delivers, why the template is mine and the text isn't, and how my AI code review uses it to tell me it's finished.
- When not to automate yetMost reasons not to automate are really reasons to wait: the rules are not agreed, the process is still changing, judgement is the job, or nobody will notice when it breaks.
- The manual-work audit: which tasks are worth automatingMost automation projects fail at the choosing, not in the code. A short audit that scores tasks by frequency, variance and the cost of a mistake, counts what manual work really costs, and turns the few that pass into a business case.
- An AI agent without the hype: a loop with limits"Agent" has come to mean almost anything. What an agent actually is, when a plain workflow is the better choice, and what makes one safe to leave running: limits in code, narrow tools, a log of every step, honest gaps and a person where mistakes cost money.
- From a one-off script to a tool people can rely onA script that saves an hour becomes a liability when it breaks and only its author understands it. Safe reruns, clear errors, config, logs and alerts, and a named owner: the plain engineering that turns it into a tool.
- Invoice extraction you can trust: check the numbersReading the fields off an invoice is the easy part. How to make the extracted numbers trustworthy: arithmetic checks with exact decimals, checks against your own records, routing by what failed, and counting exceptions instead of accuracy.