The problem
A workflow stops running on a Tuesday and you find out a month later, when the numbers look wrong and the trail has gone cold.
Built on a platform that sits between you and your data, and raises the price or changes the rules whenever it decides to.
A flashy demo is a different engineering problem than something that runs unattended at 3am with nobody watching it.
The work lives in Gmail and ClickUp and Stripe and a spreadsheet, and the integration holding it together is you.
How it runs
A task comes in, an agent does the work, it runs on a schedule instead of a to-do list, and the result lands where you already look. Nothing leaves that you have not approved.
Services
Not a menu of buzzwords. Six kinds of build I have actually shipped, from a one-off script to the infrastructure a whole system runs on. Most projects are some mix of these.
Inbox triage, data pipelines, the work you do the same way every week. Runs on a schedule with nobody watching it.
Tool-using agents that make the call, take the action, and know when to stop. Not a chatbot bolted onto a form.
The durable, file-based infrastructure everything else runs on. Guardrails, logging, and error paths included.
Multi-perspective briefings that map where the experts actually disagree, then peer-review their own conclusions.
Reports and decks that build themselves, look at the result, critique it, and fix it. Presentation-ready on demand.
Wiring the tools you already pay for, Gmail to ClickUp to Stripe, into one flow instead of six tabs.
How we work
Most automation breaks because it was built to look good in a demo. These four rules are what keep it running after the demo is over.
Fewer moving parts, less to break, and no third-party platform sitting between you and your own data. When a vendor changes their pricing, nothing here stops working.
The rules live in plain files, not buried in someone’s UI. Changing what counts as a qualified lead should be an edit, not a support ticket and a deploy.
Retries, error branches, and logs from day one. The failure mode that actually hurts is the silent one, where a workflow quietly stops running and nobody notices for a month.
A demo works once, on purpose, while someone watches. Production runs on a Tuesday at 3am with nobody watching. Those are different engineering problems.
The work
Everything above is a claim about how I build. Here is one that got built, and the numbers it actually returned.
Nonprofit prospecting
Two free public datasets in, a ranked prospect list out. It grades the confidence of every contact name it finds, and returns “unclear” rather than invent one.
Python · IPEDS · ProPublica Form 990 API
Questions
Automations, tool-using agents, internal tools, and the systems they run on. Most projects are some mix, wired straight from the APIs rather than a no-code platform in the middle.
You tell me the task and how often it eats your week. I scope it, build it, and hand it back running. Remote, end to end. You approve anything that goes out under your name.
Depends on the build. I will give you a rough number before you commit, and I will tell you plainly if a thing is not worth automating instead of billing you to find out.
No. Database reactivation is one offer, not the whole shop. If a task is repetitive and rule-based, it is a candidate, whatever corner of the business it lives in.
I prefer direct APIs over third-party platforms, so there are fewer places your data has to live. Nothing runs that you have not approved, and this site itself sets no cookies and runs no analytics.
Start here
Tell me what the task is and how often it eats your week. I will give you a straight answer on whether it is worth automating, and roughly what it would take, before you commit to anything.