Last verified: October 7, 2026
What You Can Now Do
Context Memo now shows each memo placed on its nearest problem in the knowledge graph, and flags any memo whose fit to its assigned problem is weak. Your memo library stops reading as a flat list and starts reading as a map: every memo sits under the buyer problem it answers, and the flags mark the connections that are thin. That changes one decision directly, which is what you publish next. Rather than inferring coverage from memo titles, you look at problems with no memo attached and at problems whose only memo carries a weak-fit flag, and you write for those first.
Where It Is in Context Memo
Placement and fit assessment live in the knowledge graph view. Each node is a problem, each memo is attached to the problem it matched closest to, and weak fit is marked on the relationship itself rather than buried in the memo record. Open a problem node to see every memo assigned to it and the fit state of each one.
How to Use It
- Open the knowledge graph and scan the problem nodes. You see which problems carry memos, how many, and which sit empty.
- Filter or sort to the flagged relationships. Each flag means the placement logic found the memo's nearest problem but judged the match weak, so the memo is answering something adjacent to the problem it's attached to.
- Open a flagged pair and read the memo against the problem statement. You're deciding between two outcomes: the memo is off-target and needs rewriting, or the problem node is defined too broadly and the real problem is missing from your graph.
- Fix whichever one is wrong. If the memo drifted, tighten it to the problem. If the problem was never articulated, add it, then write the memo that answers it.
- Publish, then return to the graph. Placement re-runs and the memo attaches to its nearest problem with an updated fit state, which is your confirmation the rewrite landed.
- Work the empty nodes next. A problem with no memo is a question buyers are asking that you have published nothing against, and models will fill that gap with whatever source they can find.
Why We Built It
Customers told us they had no way to see whether their memos were well-matched to the problems they were meant to address, which made it hard to spot organizational gaps or misaligned content. The cost showed up in two places. Teams wrote second and third memos against problems that were already well covered while other problems stayed empty, and memos that only glanced at the problem they were filed under underperformed in scans without anyone being able to say why. Placement and fit assessment make both failures visible in the same view.
What It Does Not Do Yet
A weak-fit flag tells you the match is poor. It does not tell you which problem the memo should have been written for, because that judgment depends on how you've defined your problem set. Placement also assigns each memo to the nearest problem already in your graph, so a memo addressing a problem you haven't defined will still attach somewhere, and the flag is your signal that the node is an approximation rather than the real target. Reassignment and rewriting stay manual. You change the memo or the problem, and placement recalculates from there.