Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

So I let an AI edit a real NDA, and it left a comment on every single change. Nutrient Document Authoring AI opens the NDA in your browser and reviews it clause by clause. Each suggestion becomes a tracked change, and the comment next to it says exactly why...

82,650 Aufrufe • vor 10 Tagen •via X (Twitter)

9 Kommentare

Profilbild von Parul Gautam
Parul Gautamvor 9 Tagen

@nutrientdocs Will try it out

Profilbild von Chidanand Tripathi
Chidanand Tripathivor 9 Tagen

@nutrientdocs this is truly next level

Profilbild von Kanika
Kanikavor 9 Tagen

@nutrientdocs This is how AI earns trust.

Profilbild von Pradeep Pandey
Pradeep Pandeyvor 10 Tagen

@nutrientdocs This is where Nutrient gets it right: AI suggests, you decide.

Profilbild von Nelly;
Nelly;vor 9 Tagen

@nutrientdocs nutrientdocs, tracked changes make the AI’s decisions way easier to review

Profilbild von Roshni
Roshnivor 9 Tagen

@nutrientdocs Finally, an AI that explains its reasoning better than most lawyers do! 😅

Profilbild von Awa K. Penn
Awa K. Pennvor 9 Tagen

@nutrientdocs I like that you can see why each change was made.

Profilbild von D-Coder
D-Codervor 10 Tagen

@nutrientdocs Nutrient makes the whole review process feel way more transparent.

Profilbild von Devin
Devinvor 8 Tagen

@nutrientdocs “The tracked changes + reasoning make this genuinely useful.

Ähnliche Videos

I solved building decks with AI agents — by giving them a CLI tool like Powerpoint or Google Slides. AI could already make a beautiful deck if you asked it to using Ant's pptx skill. The problem was working with it. If it made one alignment mistake, fixing it on one slide would break something on another, and it became a game of whack-a-mole. One time I spent two days playing AI roulette, hoping the next prompt would finally fix the thing, and ended up building the whole deck by hand because I was on a deadline. So I built Hands-on Deck. And the reason it works is that this isn't just a skill — this is PowerPoint. The actual application: PowerPoint, Google Slides, Keynote, whatever you use. This is that, but for an agent, presented as a CLI. Every gesture you make in a deck app maps to a command. Click a box and type, drag a shape from here to there, look at a slide – agent can do it all in a command. And that changes how the agent behaves. With this CLI it works and thinks like a designer — it looks, makes an edit, looks again, makes another surgical edit. Compare that to Anthropic's pptx skill, built on the idea that Claude is a great programmer: it literally writes code to manipulate the deck, hand-editing XML and hoping it doesn't break anything else in the middle. The real test isn't creating something once — it's whether it can make surgical edits like you want. That's what I did in this video walkthrough and my claude crushed it! Check it out for yourself. So decks can be built like a designer now — with real flavor and taste. If you spend hours every week on decks, this gives those hours back. You can install it as a skill in Claude Code, Codex, whatever you use. Works every harness that supports skills. Let me know if you make something cool with it.

Nityesh

70,086 Aufrufe • vor 2 Monaten

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

58,549 Aufrufe • vor 3 Monaten