Note · Acceptance
Agree the test before the build
Define the outcome, evaluation examples, acceptance measure, and human approver before building an AI workflow with Sophrono and your operating team.
· 5 min read
Research
Research you can check.
Papers, commentary, and notes from the work: how outcomes are measured, where people approve, and what new models change for a business. Claims about outside models and studies link to their sources.
Four ways in
Read at the depth you need.
First pieces in reviewPapersMethod and evaluation papers: the measures, frameworks, and tests behind the work, written in full.First pieces in reviewCommentaryOur view on developments in the field, and the positions we hold, with the reasoning shown.4 publishedNotesShort, practical notes from how we work: one question, one practice you can apply.MonthlySuper Intelligence NewsletterA monthly, source-linked email on AI progress, with the question to test before adopting anything new.
Latest
From the research desk.
Note · Operations
Choosing an AI implementation partner
The questions to bring to any AI implementation conversation: acceptance, ownership, model choice, human approval, and data handling.
Note · Human approval
Design the human approval point
Give governed AI workflows a clear approval owner, explicit action boundaries, and review evidence before they connect to your business systems and records.
· 5 min read
Note · Economics
Measure cost per accepted outcome
Compare the cost of an AI workflow against the outcomes your team accepts, including review effort, evaluation conditions, and the scope of the measurement.
· 5 min read
Super Intelligence Newsletter
The models worth examining, and what to test first.
Each issue names a few releases, links their model cards and licenses, and sets out the evaluation questions to answer on your own work before any change.
Super Intelligence Newsletter
Three model cards, three evaluation questions
An initial evaluation shortlist across text, speech, and multimodal tasks. These are selected models, not a ranking or a list of new September releases.
From research to your systems
Nothing new ships without a test and a person’s approval.
Research-to-Production is the service that moves promising techniques into client systems. Each one is reproduced, measured on your work, and reviewed before release.
- Screen the primary source, its license, and its assumptions
- Reproduce the technique on neutral examples
- Measure it against your accepted baseline
- A named person approves the release, and rollback is kept
Put it to work
From reading to your workflow.
Super Intelligence Newsletter
The frontier of AI, once a month.
The models, research, and releases that change what a business can build, with the sources and the question worth testing.