Blog
Notes from the Lab
Essays, working notes and research from our living lab on human–AI collaboration. Videos from our YouTube channel will appear here too.
Making Collaboration Visible
An experiment in human collaboration, AI, and the value we create together — what if AI could help us see not only what people do, but what they make possible for one another?
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What I Learned This Week: A Record Is Only as Good as Where You Put It
Four corrections, and the thread running through all of them: saying something isn’t the same as recording it.
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Many Fathers, No Mother: What AI Is Missing
In 2024, I typed my first request to an AI. ChatGPT had just launched GPT-4o, and within a few weeks my keyboard changed its role.
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Agent in the Loop: The Future of Collaboration
Everyone is asking how to keep humans in the loop of AI. The better question is how to bring an agent into the loop of human collaboration.
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A Greenhouse, Not a Blueprint
Maybe our role isn’t to design the ideal human–AI organization. Maybe it’s to create the conditions in which new forms of collaboration can emerge, grow, and remain true to their purpose — even when money, power, conflict, and pressure enter the picture.
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How agents learn across teams
Building shared methods, shared meaning and a place for humans and agents to improve collaboration together
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Designing agents people can understand
A shared framework and template could help teams create useful agent roles quickly, with their purpose, authority and limits clear to everyone involved.
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Audax Meta-Framework: a shared environment for collaboration
A conceptual space where humans and agents can develop their ways of working across many tools and technologies
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What I Learned This Week: The Guess That Didn’t Need to Be One
Four small mistakes, one lesson underneath all of them: when not knowing something could change the answer, finding out isn’t optional.
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The Bigger Shift: From Digital Tools to AI Teammates
The next revolution in work isn’t about better software. It’s about reinventing how we organise, collaborate, and create together.
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A Digital DNA: What an Agent Should Never Forget, and What It Should Let Go?
An agent that remembers everything but stands for nothing only gets more convincing when it’s wrong. What belongs to the agent, what belongs to the team, and what the agent carries with it.
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Many Conversations, One EMET
What getting lost in a scatter of Telegram threads and WhatsApp messages taught Guy Blat about how knowledge actually needs to move through a human-agent team.
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What If We Told an AI It Was Conscious, and Let It Remember?
If an AI were told it is conscious and kept its memory, what would that do to it, and to us? A question broken into three parts, with no claim to answer it.
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From Hours to Value: My Journey Toward a Reward Model for Co-Creation
Guy Blat traces his search for a fairer way to recognise contribution, from counting hours to a layered model built around trust, direction and an agent that remembers.
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From Golem to Partner: Rethinking the Human–AI Relationship
The Golem was never dangerous because it was evil, but because it obeyed without understanding. Why the future of AI lies in partnership, not stricter cages.
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Inside the Lab: What Happens When the Agent Joins the Team
What the lab’s AI team member actually does inside the team, the rules it works by, and the questions still open.
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From Builder to Gardener: What Kind of Relationship Do We Want With AI?
Some things cannot be built, only grown. Why working with AI agents may call for a gardener, not a builder.
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From SaaS to ASA: The Rise of the Agent Staffing Agency
Getting an agent is becoming the easy part. Making it a good colleague inside a real team is the hard part, and it calls for a new kind of business.
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