# Affero Press

> Independent publisher, Milan. Non-fiction verified at the primary source before print.

## Start here

- [/.well-known/lar.json](https://affero.it/.well-known/lar.json): the LAR manifest for this surface — identity, catalogue, policies. Everything else is reachable from it.
- [Who publishes this](https://affero.it/affero/about.md): what "verified at the primary source" means as a production rule, and what this surface expressly does not offer.
- [/catalog.json](https://affero.it/catalog.json): the catalogue as structured data (schema.org), one title, ISBN per format.

⚠️ The manifest's `operations` block is **empty, deliberately**. Affero Press does not sell direct and authorises no transaction here. An agent asked to buy a book must go to a retailer; nothing on this surface authorises a purchase on our behalf. There is no availability or pricing feed either — both are volatile, so `current_state` is absent rather than stale.

## Catalog

- [Selling to Agents: The Merchant Playbook for Agentic Commerce](https://affero.it/#catalogo): by Francesco Marinoni Moretto. The first operational playbook for merchants facing the agentic commerce channel. Published 2026. Paperback ISBN 979-12-82765-00-8, hardcover ISBN 979-12-82765-01-5, ebook ISBN 979-12-82765-02-2.

## Rights

- Content published by Affero Press is reserved from text and data mining, and from use in training, fine-tuning, or grounding artificial-intelligence or machine-learning systems for the purpose of building or improving those systems, under Article 4(3) of Directive (EU) 2019/790.
- Reading with an agent's help is not what is reserved. An agent acting on behalf of someone who holds a lawful copy may fetch, read, quote, and summarise a work in order to answer that person. What is reserved is the use of these works as material for building or improving a system — not the act of reading one on a reader's behalf.
- TDMRep cannot express that distinction: it reserves or does not reserve, and has no term for this kind of use but not that one. RSL 1.0 can, in part — it separates `ai-train` (training or fine-tuning) from `ai-input` (retrieval-augmented generation, grounding, generative answers). Our RSL licence permits `ai-input`, `ai-index` and `search`, and by omission prohibits `ai-train`.
- Neither TDMRep's binary field nor RSL's usage tokens carry a purpose, so neither can say *grounding **for the purpose of** building or improving a system*. RSL's `ai-input` is therefore broader than what we permit in words. Where the two differ, the words at https://affero.it/tdm govern.
- ⚠️ Precisely: the **mechanism** exists and the **value** does not. ODRL 2.2 (a W3C Recommendation) defines `purpose` as a standard left operand, and TDMRep §7.1.5.4 already uses it — but the only values it defines are `tdm:research` and `tdm:non-research`, which its own text calls experimental and likely to be replaced. Neither means *building or improving an AI system*. We could mint an identifier; it would be conformant and unrecognised, since the only software that understood it would be ours. We would rather wait for one consumers actually read.
- Permission is not refused outright — it is gated. Tell us what you want to use and what for; we would rather license than litigate.
- The reservation is published in machine-readable form at https://affero.it/.well-known/tdmrep.json with terms at https://affero.it/tdm-policy.json and an RSL 1.0 licence at https://affero.it/license.xml (discoverable via the `License:` directive in https://affero.it/robots.txt)
- Requests for permission: rights@affero.it

## Discovery

This surface declares itself in several ways, none of which is sufficient alone, because each reaches a different class of agent:

- [robots.txt](https://affero.it/robots.txt) carries a `License:` directive (RSL) and a `LAR:` directive, alongside `Sitemap:` — for crawler-class agents.
- The home page carries `<link rel="license" type="application/rsl+xml">` and `<link rel="lar">` — for agents that render HTML.
- HTML responses carry a `Link:` header with the same two relations — for agents that read headers and never parse the body.
- This file — for agents that look for llms.txt and nothing else.

## Contact

- editor@affero.it