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Consulting · Tayler Ramsay
I build AI workflows and agentic systems inside companies — and the governance layer that makes them safe to run unattended. Plenty of people will build you a demo. The hard part is the version that still behaves on the four hundredth run.
The proof
MindPattern is a thirteen-agent research pipeline that wakes up every night, reads the AI landscape across news, papers, GitHub, Reddit, Hacker News and arXiv, decides what matters, writes it up, and publishes without a human in the loop. Every gate, eval and audit trail I would build for you is running on the wire right now. Go and stress-test it before you email me.
Multi-agent pipelines that do real work end to end — research, triage, drafting, review, publish — and keep doing it when nobody is watching. Not a demo that needs a human standing behind it.
The unglamorous half, which is where the money is. Intake, classification, extraction, summarisation, routing. The work your team does by hand because nobody has modelled it properly yet.
Gates, evals, human-in-the-loop checkpoints, cost ceilings, audit trails, rollback. The layer that turns “we prototyped something with an LLM” into something you can put in front of customers and defend in a review.
An honest read on where AI pays off in your stack and where it won’t. I will tell you when the answer is a database query and a cron job, because sometimes it is.
One call
Thirty minutes. You describe the problem, I tell you whether I think it is tractable and roughly what it costs.
A scoped pilot
One workflow, fixed scope, running against your real data — so the decision to go further is made on evidence, not a deck.
Build and hand over
Shipped with the gates and evals in place, documented, and operable by your team rather than dependent on me.