Your agents don't share a brain. That's the chaos.
We didn't lose documentation. We lost the shared object that documentation used to be.
A little while ago we all got AI superpowers. Skills, context files, agent chats, roadmaps in three tools at once. Shipping got faster. Agreement got worse.
You can open two agents on the same repo and watch them disagree about the top priority. It's easy to say they don't share a brain. The sharper point is this:
The missing layer isn't shared context. It's shared authority.
One Google Doc used to be enough
I used to keep one roadmap in a Google Doc. The team commented in the margins. We argued in the document, not across twelve private copies. It updated every planning cycle: messy, slow, and shared. One URL. One place to disagree.
Now that same job lives in agent sessions and markdown piles. There is no shared margin. Your agents don't naturally gather in the margin of paragraph three. Each one generates a plan from whatever context it was given.
The document wasn't perfect. But it had one address, and a place for humans to negotiate.
We didn't lose documentation. We lost the shared object that documentation used to be.
More files don't fix it
When that object disappears, teams try to rebuild it for agents: a bigger CLAUDE.md, a decision ledger, a long roadmap.md. I did this while building Annsa.
Our lessons file had to be indexed before it was usable. Our always-on agent file hit a word budget and started hurting sessions. A ledger of open loops across a dozen agents grew past three hundred items. A roadmap hit four thousand words and became too long to paste into any context window.
Each session still looked coherent. Together, they drifted.
I moved from the Claude desktop app to the terminal and came back to find the app's skills and branding already out of date. Same person, two surfaces, two versions of reality. A PM told me recently that AI had given her team less visibility into interviews, roadmap, and strategy. The tools had turned into rabbit warrens. Everyone was producing. Fewer people could see the whole.
Context without authority is just a longer argument.
What shared authority looks like
Shared authority should produce a short answer to one question: what should we build, and why?
Not another giant document. A record agents and humans can both read and write:
Customer words → ranked priority → spec → shipped → customer hears back → memory for next time.
When an agent asks what's next, it should get something like this:
Priority: Stop AI rewrites overwriting collaborative edits
Why: 4 accounts · rising · churn-risk language in the asks
Spec: bld_a1b2c3d4
Enough to put every agent on the same decision. The spec carries the build detail.
Humans still decide, in the product, in Slack, or on a call. When someone parks an item or marks it shipped, that write becomes the next session's truth. The system doesn't replace the conversation. It remembers what you decided, so the next agent doesn't invent a private version.
Local skills can stay local. They should point here for what and why, not invent a second roadmap.
Monday, with and without it
Without shared authority, Amanda's Claude reads last week's roadmap excerpt. Sam's Codex reads a skill file that still lists the billing edge case first. Both ship confident work. The product diverges by Wednesday.
With it, both ask the same place what's next. They get the same priority and the same spec. Amanda parks the billing item; Sam's next session doesn't bring it back. Someone ships, and the draft back to the customer who asked is waiting for approval.
The difference isn't smarter models. It's whether anything is allowed to win.
And it compounds. The override recorded in March is why April's spec skips the stale idea instead of resurrecting it. One write. Every later agent reads the result.
Annsa
Annsa is that shared object for product teams: a product decision graph connecting customer signal, priorities, specs, and outcomes so humans and agents can work from the same decisions.
Feedback comes in. Priorities are ranked by signal strength. Your agents get build-ready specs grounded in your codebase. When you ship, Annsa drafts a note back to the customer who asked. You approve it. The system remembers.
You're not adopting more context. You're restoring shared authority: the thing the Google Doc had in slow motion, rebuilt for a world where agents regenerate the plan every morning.
Start free. Connect a source or drop a transcript. Ship one priority this week. Tell the customer who asked.
Catherine Williams-Treloar is the founder of Annsa, the product intelligence system that turns customer signal into ranked priorities and build-ready specs for Cursor and Claude Code. Annsa was founded in Sydney in November 2025.