Practical writing on AI, automation and the day-to-day work of running a business. From the team that builds and runs AI systems.

Regulation fd
Reg FD ended selective disclosure in 2000. Everyone now gets the same corporate information at the same time, so the edge moved from access to analysis.

Quality investing
High-return, low-debt, steady-margin businesses tend to compound value quietly. Here is how to measure quality and pair it with valuation before you buy.

Eu AI act
The EU pushed high-risk AI Act duties to December 2027, but chatbot transparency still lands August 2026. What moved, what stayed, and how to use the window.

Earnings management
A practical guide to catching earnings management early, using the Beneish M-Score, accrual ratios, cash flow divergence, and the filing sections worth reading.

SEC forms
Domestic companies file 10-K and 10-Q. Foreign issuers file 20-F and 6-K. Here is what each form actually contains and how to use them for real analysis.

Bank analysis
Banks don't behave like normal companies, so normal valuation metrics mislead you. Here's how to read NIM, credit quality, capital, and book value instead.
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Xbrl data
XBRL turns SEC filings into structured data you can query for free. Where the data lives, which tags to trust, and how to build a clean analysis pipeline.

AI agents
Salesforce, Microsoft, and SAP now ship AI agents inside software you already own. What that means for double-paying, governance gaps, and your next renewal.

Competitive intelligence
EDGAR full-text search queries every SEC filing since 2001 at once. A practical guide to mapping competitors, suppliers, and industry trends from filings.

Factor investing
Factor investing tilts a portfolio toward traits like momentum, value, quality, size, and low volatility. Here is how each one works and how to combine them.

Earnings analysis
Stocks keep drifting in the direction of earnings surprises for weeks after the report. How to measure surprises, judge beat quality, and use the drift.

AI adoption
Small businesses now run a median of five AI tools, yet only 14% have AI embedded in core operations. A practical method for consolidating the stack.
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