A snapshot of collaboration skill.
The PAICE.work assessment examines how a person works with AI. Its purpose is to make human-side collaboration skill observable.
- PAICE.work
- AI Posture
Independent measurement. Shared progress.
Help people and AI work better together.
We’re building the independent yardstick for AI collaboration, with open standards and practical tools to make it measurable, teachable, and governable.
PAICE.work PBC is a mission-oriented, for-profit Public Benefit Corporation.
Why this matters
Better AI is only part of the possibility.
What we can accomplish depends on how we work together. A learner needs useful feedback. A teacher needs a way to recognize progress. People making consequential decisions need evidence they can trust.
Our bet is that better collaboration compounds. Clearer intent, earned trust, and shared practices can improve today’s result and make the next collaboration more effective. PAICE.work PBC makes that possibility something we can investigate and build on.
Work you can explore
A mission with work behind it.
Different capabilities, one purpose: help people understand, improve, and trust the work they do with AI.
Make the agentic web scoreable.
One website at a time, Siteline examines whether agents can use the web on our behalf. Graceful Boundaries helps make operational limits understandable.
- Siteline
- Graceful Boundaries
- Knowledge-as-Code
Connect the claim to its source.
Legal obligations, public matters, and publication records provide a practical domain for checking AI-assisted work against evidence.
- Every AI Law
- PubLedge
- AI Incident Law
- Obligation First
Keep the reasoning on the record.
Portable records preserve positions, objections, and the human decision. Session protocols carry that accountability through ongoing work.
- AIDR
- Turnfile
- GuideCheck
- Skill Provenance
- Graceful Boundaries
- Knowledge-as-Code
An example you can inspect
How a standard was ratified.
AIDR’s own specification decision is a published record of reviewers’ positions, disclosures, and Sam’s arbitration.
It shows a decision trail. Whether the method improves outcomes remains a question to test.
aidr / AIDR-0002 · July 2, 2026
Should the specification be ratified?- The question and review context
- Positions and reviewer disclosures
- The human decision
Research & resources
Explore the thinking behind the work.
Papers, briefs and design principles make the ideas available for inspection, discussion and use.
Watch the overview
The case for independent measurement.
The video summary of Aggregated Intelligence introduces the ideas behind the June 2026 executive brief.
Watch on YouTubeAccompanies the June 2026 edition. Current project roles are described in the work areas above.
The shared idea · 2026-06
Aggregated Intelligence
Why measuring human-machine collaboration independently matters.
The measurement approach · 2026-03-31
Closing the Collaboration Gap
A behavioral skill framework connected to established performance-improvement practice.
The design principles · 2026-07
The Aggregated Intelligence Tenets
Eight principles beneath Turnfile and AIDR, including preserved disagreement and human accountability.
Read, listen, or watch.
The Aggregated Intelligence brief is available in several formats.
These works record the thinking at their publication dates. The current portfolio direction is described on this site.
What we’re committed to
Trust has to be earned.
Independent measurement.
A useful yardstick serves the people being measured as well as those making decisions. Our methods should be open to inspection.
Human agency.
Intent, disagreement, and authority belong in the record. Model agreement can inform a decision; people remain accountable for it.
Shared foundations.
We adopt existing work where it meets the need, contribute where we can, and build to fill real gaps. Wider adoption matters more than keeping a separate project alive.
Evidence changes what we pursue
What we stopped, and why.
Archived experiment
Tokenese: an experiment we stopped
We explored whether a purpose-built language could make AI-to-AI communication more compact and precise. Its flagship example used more tokens than concise English, and the broader benefit remained unvalidated. We stopped investing and published the evidence, limitations, and conditions for reconsideration.
We also corrected our own post-mortem when its conclusion went beyond the evidence.
Read the findings and post-mortem
The person behind the work
Hi, I’m Sam Rogers.
In facilitation, I’ve seen better collaboration do more than improve one result. It builds trust and ways of working that make the next collaboration more effective.
PAICE.work PBC is where I’m pursuing that possibility with AI in the mix. I’m looking for people who want to help make the work useful, rigorous, and lasting.
Make a contribution
Help build a yardstick worth trusting.
Your support can sustain independent development, strengthen the evidence, and bring this work into real settings.
Fund the independent work.
Explore mission-aligned funding, the capacity it could sustain, and the next useful milestone we could pursue together.
Talk with Sam about fundingBring your expertise.
Research, build, review, or combine efforts on a shared mission. Start with where our strengths could make a useful difference.
Explore working togetherBring a real workflow.
Have a recurring task where collaboration matters? Explore a pilot with a clear result and people who can judge its usefulness.
Discuss a possible pilotA short note about your interest is enough to begin. We’ll start with what matters to you, look at the relevant work, and identify a useful next step. You can also write directly to hello@paice.work.
Explore our current public work 13 components, with their roles and destinations.
Every AI Law
Structured references to AI-related obligations and their sources, connected through the Legal Graph.
Explore Every AI Law
Graceful Boundaries
Discoverable limits, understandable refusals and useful next steps for humans and agents. An enabling standard for Siteline.
Explore Graceful Boundaries
Skill Provenance
Portable identity, integrity and version history that help make work with agent skills governable.
Explore Skill Provenance
Turnfile
Session-scale coordination with recorded positions, preserved disagreement and human resolution.
Explore Turnfile
AIDR
One portable decision record for the question, positions, objections and human decision.
Explore AIDR
Knowledge-as-Code
Open infrastructure for simple human and machine legibility of structured knowledge.
Explore Knowledge-as-Code
AI Posture
AI Posture
Aggregated Intelligence Posture: a supporting framework for understanding and communicating aggregated intelligence. Practical applications remain to be developed.
Explore AI Posture
PubLedge
Open recordkeeping conventions for fact-specific interpretations and administrative issuance records.
Explore PubLedge
AI Incident Law
Public-record legal and regulatory matters involving AI, with allegations and outcomes kept distinct.
Explore AI Incident Law
Obligation First
The shared vocabulary and validation contract connecting the Legal Graph while preserving each source's meaning.
Explore Obligation First
GuideCheck
Human-reviewable installation instructions, designed to make delegated software installation inspectable. Conformance does not guarantee safety.
Explore GuideCheck