Financial market context for AI agents. Every figure dated and sourced. We do the prep - You make the call.
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Ask your AI where Treasury yields are.
Then ask what day that number is from.
Now possible for both to be right; on the first prompt.
PreReason does the prep before your AI reasons: a one line reading, the trend over several windows, every figure dated and every source named.
Went into Anthropic's S-1 wondering about the finer details most posts are missing out on.
> who is set to get shares,
> at what time the unlocks come,
> and if models getting cheaper over time is even mentioned.
Votes:
A single share of Class F stock, held by the seven founders' LLC, will carry 50.1% of all votes and no economic rights.
A trust can elect most of the board.
Unlocks:
Founders and certain holders over 0.5%, 365 days or the Sept 2027 quarter's results, whichever comes first.
Everyone else, 180 days or the March 2027 quarter.
Good dates to keep on the calendar.
On Cheaper models:
Yes, they say customers "may migrate toward smaller, cheaper, or open-source alternatives".
What is surprising to see is no mention of the "wrappers" side by that name.
They call it Claude Platform, where developers "build their own AI solutions", right next to Anthropic's own first party apps.
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO.
Read more: anthropic.com/news/s1-sec
Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
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We do the prep. You make the call.
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Try asking your AI for Ørsted's latest revenue and see what comes back.
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£ for Rolls-Royce.
€ for Sanofi reports.
Each of their own terms, in their own annual reports.
Your AI shouldn't have to untangle that before it can answer you.
PreReason reads each company's own report and serves it in one form:
> the company's own currency
> every figure dated
> every source named
Call one metric, or the whole briefing at once.
UK and EU companies, now in the same form as the USA, Japan, South Korea and India.
Company Briefings and much more your model can reason over, without the data mess.
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Time is spent on your call.
Not on your cleanup.
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