Send me a mess. We'll find the right answer together — not a bare-minimum bandaid. Get back a solution that runs on its own and evolves with you.
No matter what brought you here, you’re in the right place. Need a take on where AI fits, a thing built or connected to another thing, or just want to see what I’ve been making? I can help. Browse the pages below, and reach out when you're ready.
Get help turning messy operations, AI questions, and product ideas into practical systems your team can actually use.
GO TO CONSULTING →Explore shipped apps, prototypes, games, tools, and public proof-of-work from Prometheus Labs.
LOOK AT PROJECTS →Try a few lightweight examples of how AI can help with your workflows, product ideas, and practical business problems.
IMAGINE A SOLUTION →A brief, perhaps cheeky overview about Sean and his career highlights. Know before you buy.
LEARN MORE →AI building is everywhere right now. But the hard part usually is not model selection or even building with AI tools. The hard part is deciding how to apply it. My thoughts? There's no one-size-fits-all answer.
AI where it helps.
Operator judgment where it matters.
Boring software where the answer can't be wrong.
Yes, there is value in embracing AI for almost any business. My job is helping you get the shape right: what should be automated, what should stay human, where the facts need to be deterministic, and what kind of system the team will actually trust and use. Where that work usually breaks out:
Use the model for the things models are weirdly good at: classifying messy messages, drafting vendor replies, interpreting ambiguous memos, searching policy docs, summarizing legal news, proposing mappings, or explaining why something looks off.
Decide what to automate, what to keep human, what needs source-of-truth data, and where review belongs before the system reaches a customer, a partner, or a decision-maker.
Facts. State. Permissions. Proof. Payment status comes from Stripe — not from a model that's pretty sure. Customer state comes from Salesforce. Access comes from your permissions system. The output ties back to source data. Use code for the parts that can't be fluently wrong.
“The answer is yes. The work is figuring out how.”
AI can almost definitely help. The mistake is assuming that means “add a model” or “launch an agent.” The real work is deciding what to automate, what to keep human, what data has to be trusted and deterministic, and how to make the whole thing useful enough for a team to rely on come Monday morning.
LET’S FIGURE OUT HOW →
