Research
This year’s focus will be on how organizations run when AI agents do much of the work. We call this AI-native data operations. What we learn will improve Business Protocol Management, the practice of running a business on a small hard core of protocols.
Premises
The research rests on three premises. We treat them as observations that could turn out partial or wrong, and the sessions and cases test them.
- Abundant cognition
Reading and writing both get cheap. Processing unstructured data (PDFs, rate sheets, forms) and producing software cost a fraction of what they did.
Tested in the water and construction cases
- Distributed agency
Models act, and they run as many instances at once. Swarms of agents show up wherever work is done.
Read against OpenAI’s incident report and Anthropic’s multi-agent study in theme I
- Mediation
What we study
If those premises hold, running data operations means managing a swarm through its protocols. We study the three phases of Business Protocol Management. Each one relies on protocol vision, the capability to see the protocols a business actually runs on.
- See
Seeing the protocols a business actually runs on, which usually go unnoticed until they break. Field logs record what happens and why, as it happens, so patterns show up. What an organization emits, and who can read it, shows where its protocols live. Nature helps too, because cells and flocks coordinate through signals their neighbours can read.
- Design
- Evolve
How discretion moves between people and agents, how it gets checked cheaply and recorded where others can see it, and how the hard core gets amended as the business grows.
Theme VI
Speak at a session
We’re looking for guest speakers. If your work touches one of this year’s themes, we’d like to hear from you. Guests speak first, at the start of the session, and the group reads and discusses afterwards.
- Agents
Teams that run agents in production, or build the protocols they use.
- Nature
Biologists and roboticists who study coordination without a manager.
- Emissions
People who publish, audit or read logs, filings and reports.
- Incidents
Incident investigators, reliability engineers and safety researchers.
- Hardness
Architects of permissions, payments, data contracts and safety checks.
- Liveness
People who keep standards, production systems and safety programs working as they grow.
Four guest slots are still open this year: 8 February 2027, 22 March 2027, 19 April 2027 and 28 June 2027. The reading plan shows which theme runs when.
or message Rafael Fernández (@rafa_0x) on Discord
Cases
California water rate data
Led by Patrick Atwater and Maxwell Titsworth with the California Data Collaborative, and now in implementation. Rates are published but hard to discover; the answer was a registry and llms.txt, not a new standard.
Case briefConstruction procurement protocols
Led by Andre Comeau. Procurement redescribed as software: a Design, a Tender that acts as the API, and construction as the compile. Its protocols are tensions to manage, and a small app tests whether a bot-first protocol can be built with today’s tools.
Case briefProtocol Institute brand kit
A written spec that agents build pages from, and what went wrong until the checks were automated.
Case briefWorking smarter with AI
Led by Robert Peake with Timber Stinson-Schroff. Practices and hazards for working with AI, gathered at the Protocol Institute Symposium 2026, and a survey of how people actually co-work with AI.
Case briefYour case
Pick a data operation that AI is changing and carry it through the year, from brief to published write-up.
How it worksTraining
We train protocol vision outside the reading too. Members watch protocols at work, log them with the Protocol Bicorder and share them in #protocols-for-business, aiming at about a hundred over the year. The protocol watching guide explains how.
We also run workshops, listed under work so far, and we’re exploring a simulation in which a swarm of agents runs a small company and players set the guardrails. Anyone can help shape the reading plan by suggesting or challenging a reading.
Sponsor or partner
The Protocol Institute is an independent research organization, supported by the Ethereum Foundation through 2026 and becoming a Canada-based nonprofit. It is raising support for its 2027 programs, including this project. To sponsor the work or bring us a research problem from your domain, see how to support the Institute or get in touch.