Closer Method. 27 Claude skills for solo founders who bought Pro and still stare at an empty prompt box, plus a UGC side that helps creators price and negotiate brand deals. Built from ten years of enterprise sales at Criteo, Deel, and Bloomberg, converted into cold pitch, rate calculator, and objection handling. closermethod.com

I’m tracing an inheritance my grandmother never received after her father died in 1958. AI helped me search the archives, but I caught something: it had read a document’s text while only sampling the scanned pages. That matters when a single handwritten line can change the search. Prompt I use now: “Confirm what you can access: PDF text, page images, or both. Review 5 pages at a time. Log pages actually checked, names verbatim, handwriting and citations. Cross-reference earlier findings, flag contradictions and next leads. Mark anything unexamined UNCHECKED.”

Another finding for UGC creators One creator’s own website did show up in my AI search research. She’d written an article explaining UGC rates. AI cited her article when I asked about pricing. But when I asked which creators to hire, it didn’t recommend her. I found that particularly strange because she was clearly knowledgeable enough to be used as a source.

AI and my family research: I’ve got historical records with Othmar, Ostty and Otto. I’m trying to establish which references are to the same person. When I search with AI, I make it keep the original spelling and show me the source page. One helpful spelling correction could make me miss a connection I’ve spent years trying to find.

I don’t want my research system to return one answer. I want: CONFIRMED SUPPORTED POSSIBLE CONTRADICTED UNRESOLVED And I want every label tied to evidence.

The stereotype is true. The older you get, the more you’re keen on history. I’m currently fascinated with Latin America and Switzerland relations regarding imports/exports in the 1930s-1970s. Anyone else?

Oracle’s AI security system found more potential vulnerabilities in two weeks than it had found in the previous year. Around 60–70% were false positives. That’s a perfect example of AI making one metric look incredible while creating a pile of work underneath it. Track confirmed issues per reviewer hour and time to disposition.

Also: what are you distributing? Information? Awareness? Product pages? Where? To who? How? Distribution goes beyond the literal distribution of the product itself.

Astra for Law is interesting bc it exposes how much professional judgment usually lives outside the model. OpenAI had to decide which legal sources count, how they’re searched, how analysis is instructed and where review still sits. Every vertical AI product has some version of those decisions hiding inside the profession.

A brand wants a $300 UGC video. Then they ask for 12 months of paid usage, the raw footage, category exclusivity and permission to generate more ads with your likeness. I’d love to know how many creators are pricing the video before reading the rest of that sentence.

Search asks: “Where does this name appear?” Investigation asks: “Why does this name appear here, who else appears around it, what happened before and after, and what evidence would connect those things?” Giving an AI search tools doesn’t automatically make it an investigator.

UGC creators, open a fresh ChatGPT Search and pretend you’re a brand. Ask it to find five creators in your niche and country. Make it show you where it found each person. Now look at those pages. I learned more from checking the actual sources than from looking at the names AI recommended.

The AI research mistakes I worry about most aren’t invented facts. They’re quieter: Two similar names become one person. Five articles repeating the same source become “five sources.” “Possible” quietly becomes “likely.” “Likely” becomes a sentence written as fact. That’s how a research system contaminates itself.

hot take: “agent” is way too broad a permission class. two settings keep getting bundled together that absolutely should not: what an agent can access 
what it can do without asking a research agent can have broad read access and almost no write authority. a payment agent can touch one narrow system and still require approval every time.

One creator had written an article explaining UGC rates. AI found her article when I asked about pricing. Then I asked which creators to hire. Her name disappeared. I’m fascinated by this because someone can be knowledgeable enough to get cited and still be overlooked as someone to work with.

I wish creator marketplaces made licensing terms as easy to compare as hotel booking sites make room options. 30-day paid usage. 12-month paid usage. Raw footage. Exclusivity. AI likeness rights. Imagine searching for creators and being able to see exactly what the brand is asking to buy.

One of the most useful changes I made to my AI workflow: After building a theory, I open a fresh line of inquiry whose entire job is to break it. Find the strongest alternative explanation. Find evidence I ignored. Tell me what document would prove me wrong.