t15n · Thibaut Tiberghien
An experiment in what shared knowledge should be once AI writes
A person working at a laptop, a second laptop across the table.

The Mesh

Photo Priscilla Du Preez / Unsplash

A knowledge base that writes with you, not just for you.

When AI makes output free, the thinking becomes the only part that still has value.

The real product of a session with AI is not the text it produced. It is the understanding you built getting there, and that understanding dies when the tab closes. A page of conclusions nobody can trace back is a liability, not knowledge. The Mesh keeps the reasoning, so it compounds across a team instead of evaporating.

When your knowledge base says no.

Keeping the reasoning takes more than a place to put it. The Mesh carries an opinion about what good knowledge work is and how it compounds, and it applies that opinion while a page is being written, including when that means pushing back on you.

There is no text editor. You direct an agent.

You tell an agent what you want, and The Mesh briefs it on what good work looks like. The agent writes from both, so every page has three authors.

YOU THE AGENT THE MESH a page

The difference is the brief.

Give the same request to a generic assistant and to The Mesh. The generic one returns the safe, hedged answer, while The Mesh returns a point of view anchored in the team's actual context.

The request"Write up why we're moving standups to async."
A generic assistant

Moving standups to async can improve focus and reduce interruptions for the team. The main benefits are flexibility, fewer meetings, and a written record. The trade-offs are less real-time discussion and slower responses to blockers. A hybrid approach may offer the best of both, so it could be worth trialing the change and gathering feedback before deciding.

The Mesh
DecisionStandups go async on Monday. Three-week trial.
WhyThe daily call was buying manager visibility, not team flow. The people who needed the sync least were paying for it with their morning.
Ruled outA hybrid. It keeps the interruption and adds a second place to coordinate.
WatchingCan we surface a blocker within the hour, not the day? That is the thing async could break.

Pages you can actually think in.

Plain text won on terseness, which only mattered while a human typed the markup. Once the agent does that, a page can become whatever the thought needs, laid out so the structure carries the meaning instead of decorating it. One artifact, at one address, doing what a doc, a deck, and a whiteboard each did partway.

A table
A diagram
A chart
A live canvas
A map

No trust, no adoption.

Of everything AI could be applied to, code was one of the first to earn that trust. There are a few reasons, but the most interesting one, for what we're doing, is that a wrong answer was survivable there: every change is a diff, it gets reviewed, it can be rolled back, and it carries a name. Giving knowledge work that same safety net is one of the things The Mesh is working toward. It is not all there yet, but we have started putting the first pieces in place.

Safety net, borrowed from code
DiffReviewRollbackAttributionTest

The Mesh runs today, built with Claude and using itself. It is more of an experiment than a product, and the team at Smplrspace already uses it. If any of this resonates, or you are putting an agent layer on your own product and asking what good output even means once the agent writes it, I'm open to talk.

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