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About
AI Agent Infra documents the infrastructure beneath autonomous software: the protocols agents speak, the runtimes they live in, the memory they keep, the identities they carry, the money they move and the compute that bills for all of it. The site exists so that scholars, engineers, journalists and investors can cite one dated, sourced account of the field.
The field moves quickly and its numbers travel loosely. A forecast quoted at a conference becomes a fact in a slide, then a statistic in a pitch, with the definition and the date lost along the way. This journal restores both. Each reference article opens with a bold quotation and the statistic behind it, then works through the evidence: what a company disclosed, what an analyst measured, what a paper reported, what a leaderboard showed on a stated day.
The scope is the stack itself. Models and reasoning, protocols, orchestration and runtime, memory and knowledge, identity and security, commerce and payments, observability and evaluation, platforms, compute and the economics that bind them each have their own section, and the pillar article fixes the vocabulary.
Sources, ranked. Primary sources come first: press releases, regulatory filings, earnings pages, official engineering blogs, papers on arXiv and leaderboards read on a stated date. Reporting from outlets at the level of the Wall Street Journal, Financial Times, Bloomberg, Reuters, Barron's, Harvard Business Review, Fortune, CNBC, TechCrunch and CoinDesk follows, together with research from McKinsey, Deloitte, Gartner, Stanford HAI and their peers. Every piece lists its sources in AP style with URLs.
Claims, labeled. Company claims read as claims. Vendor-published benchmarks read as vendor-published. Figures that exist in one source read as single-source. Conflicting figures appear side by side with both sources, and the text says which one the editor trusts and why.
Dates, everywhere. Reference articles carry a last-verified date; figures carry the date their source states; opinion pieces stay undated by design and are labeled Opinion.
Independence. The site carries zero advertising, sponsorship, affiliate links or paid placement. The editor discloses positions and biases inside the pieces where they matter, and the opinion section states its central bias in every piece.
Style. Analytical prose for advanced readers, written in positive statements. Headlines lean toward alliteration. Every piece is checked by a script that enforces the house rules before it ships.
Research for each piece begins with a fact file: dated entries, one per figure, each carrying its URL. Writers draft from the file, verify quotations against their original pages, and mark anything that resisted verification so it can be excluded or labeled. A structured front matter records the opening quotation, three to five headline figures with their source numbers, and the full source list; the site renders those records as the “By the numbers” panel and the Sources section, and exposes the same text to machines at /llms.txt and /llms-full.txt.
Adding a piece takes one file. A new .mdx document with the same front matter, dropped into the content folder, appears in the indexes, the feed, the sitemap and the machine-readable files at the next build.
Reports of error reach editor@aiagentinfra.com. The editor reviews each one against the original source, corrects confirmed errors in place, and appends a dated correction note to the affected piece when the change is material. Superseded figures stay visible in the note so readers can see what changed.
Ryan Elliott Dennis is a brand strategist and go-to-market communications specialist focused on technical products in AI, blockchain infrastructure and fintech, and the editor of this journal. He trained as a broadcast journalist at Hampton University's Scripps Howard School of Journalism & Communications, where he graduated with honors and received his class's Outstanding Leadership Award, and he describes that training as the discipline of making something complicated clear in the time you are given.
His work has supported a blockchain-based mutual fund launch covered by the major financial press, the growth of a blockchain network's ecosystem audience from 1.5 million to 3.5 million, and product launches reaching millions of users with coverage in Forbes, Bloomberg, CNBC, Reuters, WIRED and TechCrunch. He also edits The Wall Street Fund Archive, an independent financial-history project, and publishes at ryandennis.io.
Declared bias. The editor believes reasoning, in the spirit of Armağan Amcalar's BRAID work at Coyotiv and OpenServ, is the next breakthrough in cost savings and productivity for agents. The opinion section says so in every piece; the reference articles report the evidence on both sides.