Work With Me

I help individuals and teams build a practical human + LLM writing process that sharpens thinking and turns rough material into durable work.

If you have ever had the feeling that an LLM session was useful but not yet usable, this is the sort of work I help with.

Across security, AI, systems, and investing, I use a defined process to turn rough ideas, raw signals, source material, and half-formed questions into notes, decision-support material, investigative write-ups, and other durable working artifacts.

The aim is not just to publish more. Regular AI-assisted writing can become a thinking loop: clarify the point, test the evidence, expose weak reasoning, improve the explanation, and produce useful work faster.

That can mean different things in practice:

  • one-to-one sessions with a private investor who wants to learn how to go from a raw idea to a properly structured research note
  • a small team trying to make better use of LLMs without producing generic slop
  • a technical or security workflow where the real problem is not generating words, but interrogating a messy input properly and ending up with something usable

I am not offering a generic “AI productivity boost.” I am offering a more disciplined way to work with rough inputs, structured data, source material, iterative model use, and repeated editorial judgment.

Who This Is For

This is usually a good fit for:

  • private investors who want to build a repeatable process for turning raw ideas into better research notes and decision support
  • technical professionals who want to turn LLM chats into cleaner notes, write-ups, or working documents
  • small teams who have experimented with LLMs, seen enough value to care, but are frustrated by stale knowledge, broken links, generic output, or privacy constraints

How I Work

For individuals, this usually looks like a small number of focused calls with practical homework between them. The goal is not to impress you with a prompt. The goal is to help you build a method you can actually reuse.

For teams, the format is usually lighter-weight and more applied: a few working sessions around your real material, your constraints, and the artifacts you actually need to produce.

Get In Touch

If you want to explore this with me, email me at craig@threatspotting.com and I’ll get back to you personally.

The most useful opening note is a short one: what you are trying to achieve, whether this is for you or for a team, and what kind of material or workflow you are working from.

If private data is part of the problem, that is fine. I already work around that constraint by designing the process so sensitive material does not need to be pasted wholesale into a public model.