Tell me the task you repeat 50 times a month and I build it. Recent ones: a tool that reads your supplier invoices and fills your exact spreadsheet; a Chrome extension that fills and submits a repetitive web form; a desktop app that watches a folder and processes whatever appears in it.
You get a real program (.exe) that runs on your Windows - not a subscription, not a website, no account. I test it with your real files before delivering, and I record a short screen video so you always know how to use it.
Typical investment: 150-600 USD depending on the complexity. If it is not worth automating, I tell you before you pay anything.
Clients often start with the same request: "Let's build an AI agent."
My counter-question is always: which manual process actually costs you time, errors, or money right now?
My selection rule: remove it first. If it can't be removed, simplify it. If it's still needed, automate it with a plain script. Only then add an integration or an agent. Often the best result is the process that no longer exists.
Safe automation means real scenarios, error handling, and alerts. Without alerts, a workflow can silently lose data for weeks. I always define what stays with a human and what goes to the system.
Question for you: which process would you automate first, and why is it still manual?
Service for audit and implementation: https://contra.com/s/BmWLbgFU-ai-automation-from-your-dream-to-working-implementation?r=auto_booster
Alerts are the part I'd underline. In my Linux deploy demo I killed the service on purpose and systemd restarted it, but without an alert nobody would know it happened. For small workflows, where do you send alerts: email, Slack, or something else?
A calculator that runs by itself is a clever way to show the product without asking anyone to read. Watching a price turn into an invoice explains the value instantly.