Yesterday a portfolio manager I work with sent me a link. "Free trial," she wrote. "Tell me what you think. Is this actually useful, or am I paying for ChatGPT in a trench coat?"

She'd signed up for a new investment research platform. Pick a public company and you get a bull case, bear case, list of risks, questions for management, a multi-year financial story, earnings review, and relevant podcasts. All sourced from the standard stuff: EDGAR, earnings transcripts, proxies, podcasts.

Her question is the question of 2026 for any AI software vendor. Most of what you're being pitched right now is an AI wrapper. So the real question becomes: am I paying you for something I couldn't get cheaper, or better, elsewhere?

An AI wrapper is a company that doesn't build its own model. It uses someone else's (Claude, GPT, Gemini) and layers a product on top. That product is mostly a carefully designed set of prompts, plus a UI.

When you pay for a wrapper you're paying for three things.

First, the prompts. Someone has spent serious time figuring out how to ask "what's the bear case on this stock" in a way that reads like a buy-sider wrote it. That's not nothing. A bad prompt on top of a great LLM still gets you a generic answer.

Second, the evaluation. The better wrappers have an internal system that grades the output, catches when it's thin or wrong, and iterates the prompt. This is the work that makes a wrapper feel reliable instead of moody.

Third, the model selection. Which LLM is best for which task. That's a real call right now, given how fast the providers are moving (this past weekend being exhibit A). The wrapper makes that decision so you don't have to.

What you're not paying for, in most cases, is private data. The sources are the same ones you can hit yourself. EDGAR is free. Earnings transcripts are free. Podcasts are free.

Is there a place for this in the market? Yes. For the PM screening 80 names a week. For the busy investor who wants to spend five minutes pressure-testing an idea before going deep. For the analyst who already knows the name and wants a second opinion on their own bear case.

It does not replace reading the 10-K cover to cover. It does not replace primary research. Anyone selling it that way is selling you something else.

So when you evaluate one of these tools, ask two questions.

1. What sources does it have access to? If it's just public filings, you're paying for prompts and packaging. That can absolutely be worth it. Just know what you're buying.
2. How do they prove their prompts are the best? Real vendors should be able to show you their eval process. Are they benchmarking output against human analysts? Are they iterating when quality drops? Are they switching models when a better one comes out? If they can't answer cleanly, the prompts are probably stale and the moat is paper thin.

The wrapper category is about to get crowded. Some will be excellent. Some will be an expensive chatbot with a logo.

Your job, as a buyer, is to know the difference.

Alex