Stop re-teaching every AI the same things. Full Oversight captures your opinions the moment you say them, and every model you use can act on them.
For teams (soon)Shared house style and org opinion sets are on the roadmap. Individual voice first.
no em-dashes; prefers direct, casual tone (writing · just now). Recommendation: add this to your Claude memory and CLAUDE.md so you never say it again. Apply?"Stop using em-dashes." "This is too formal." "Never mock in unit tests." The correction gets applied to one response, then it's gone by the next session.
Model memory and custom instructions exist, but they're filled by hand and locked to one vendor. Nothing travels between Claude, ChatGPT, and Cursor.
Switch harnesses and the re-teaching starts over. The more AI you use, the more of your day goes to repeating yourself.
An MCP server any agent can connect to, backed by your opinion record and a web portal.
The agent you're already talking to detects the opinion in conversation and saves it verbatim, with context: which surface, what task, when.
Each capture can carry a concrete, applyable change: add it to model memory, patch CLAUDE.md, set a custom instruction. Config mutation, not text generation.
Any connected agent can ask "what's this user's stance on writing style?" before it acts, filtered by domain and recency.
A judgment layer synthesized from your record. Ask it to rank three drafts and it applies your revealed taste, not generic quality heuristics.
The model you already trust does the reading. Your conversations never touch our servers; only the structured opinion crosses the boundary.
Add the Full Oversight MCP server to the harnesses you already use: Claude, ChatGPT, Cursor, Claude Code. One protocol surface, every agent.
When you express an opinion mid-conversation, the host agent writes it to your record, structured and in context, often with a config recommendation attached.
Every connected agent can check your record before it acts. Your stance on tone, formatting, code style, and quality shows up in the output the first time, in every tool.
When an agent needs a judgment call your record doesn't cover, it asks for a ruling or bookmarks the question for later. Each answer makes the record sharper.
The portal is the trust surface: browse your accumulated opinions, edit or retire them, apply recommendations, answer open rulings.
writing · claude.ai · 14d ago. Saved the moment you said it, with the context it was said in.
code · cursor · 3d ago. Recommendation attached: patch CLAUDE.md testing preferences.
email · chatgpt · 21d ago. Flagged twice; treated as a strong preference.
Add "no em-dashes" to Claude memory. Patch CLAUDE.md with your testing preference. One click each.
"Oxford comma in headlines?" Answer when you have a second; every ruling compounds the record.
B. you've flagged hedging openers twice, and A buries the ask.Judgment synthesized from your record, with recency decay and drift checks.
You spend hours a day in Claude or ChatGPT on emails, docs, and plans, and you're tired of correcting the same tone overshoot and the same stylistic tics in every chat.
You run three or four harnesses a day and re-teach each one your code style, your testing opinions, and what "done" looks like. Your taste should travel with you.
The same primitives scale from one person's voice to an org's: shared house style, your team's code-review opinions, admin governance. We're building individual-first and expanding once the record proves it compounds.
Judgment is the difference between a draft you rewrite and a draft you ship. The more of your taste the record holds, the closer every first attempt lands to what you'd have written yourself.
We introduce no second vendor into your conversation. The model you're already talking to does the detecting; only the structured opinion reaches us.
Capture is host-model extraction: the agent you already trust reads the conversation and writes only the structured opinion, like no em-dashes · writing · claude.ai, to your record. Capture is invoked, not ambient.
Everything the system believes about you sits in the portal: edit any opinion, retire it, or delete the whole record with a real cascading delete. Every connection runs on a revocable token you issued.
Peer-reviewed methodology · Vendor-neutral by design
We're recruiting a small cohort of friendly beta users who run AI daily. Your opinions, and your reactions to early versions, shape what gets built.
Connect the MCP server to the tools you already use and start building your record. Small cohort, direct line to the team building it.
Thirty minutes with the person building it. Good for team interest, questions about the privacy posture, or if you want to see the capture flow live before connecting anything.