Built for how you think.
Not how you work.
You debug with AI all day. Where did that fix go?
Monday you designed a database schema with Claude. Tuesday you debugged an auth issue with ChatGPT. Wednesday you asked Gemini about caching patterns. By Friday, you need a design doc and you can’t find which conversation had the approach you chose.
Open Ligature. All three conversations are captured automatically.
The Distiller shows: “Decision: normalized schema with JSONB columns” from Monday.
The Graph of Thought reveals a connection between the auth fix and the caching pattern — they both touch the session layer.
Export the key decisions to Obsidian. Your design doc writes itself.
“5 hours a week repeating context to different AIs. Ligature gives me that time back.”
10 clients. 3 AI platforms. Good luck keeping track.
You juggle multiple clients, using AI differently for each — research on Gemini, strategy on Claude, quick analysis on ChatGPT. After a month, 200+ conversations are scattered with no way to find the insight you generated for Client A three weeks ago.
Projects group your conversations by client automatically.
Before a meeting, see every decision and open question across all platforms.
The weekly digest: “12 conversations, 5 key decisions across 3 clients.”
Export a briefing PDF with key moments from your AI research.
“I used to spend 30 minutes before each call hunting for ‘that conversation where I figured out their pricing.’ Now it’s all there.”
Your literature review is split across 3 platforms and 50 conversations.
You ask Claude to analyze a paper. ChatGPT to compare methodologies. Gemini to find recent work. Each conversation deepens your understanding, but the insights are fragmented. When you write, you re-read dozens of conversations to find the threads.
The Graph of Thought shows your entire research landscape — every conversation as a node, every shared concept as a connection.
Semantic search finds “discussions about neural plasticity” even when you never used those exact words.
Direction Changes track your evolving thinking: “Initially explored approach A, then pivoted after discovering limitation C.”
Import 6 months of ChatGPT history. See patterns you never noticed.
“My thesis advisor asked how I arrived at my hypothesis. I showed her my Graph of Thought. She said it was the clearest thinking map she’d ever seen.”
You designed 5 features this week. What did you actually decide?
You use AI to explore features, write specs, iterate on copy, analyze feedback. By Friday, you’ve had 20+ conversations. Your team asks “what did we decide about onboarding?” and you spend 15 minutes scrolling through old chats.
Every decision is tagged: “Decision: 2-step onboarding, extension install optional.”
Open Questions tracked: “How to handle users who skip the extension?”
The Popover shows key moments while you’re working — one shortcut, instant context.
Export action items to Linear directly from extracted moments.
“In standup I open Ligature and read yesterday’s decisions. No more ‘I think we said something about…’”
You ARE the team. AI is your co-founder.
Monday: pricing strategy on Claude. Tuesday: landing page copy on ChatGPT. Wednesday: launch plan on Gemini. Your brain is full but your conversations are scattered. When someone asks “why $9/month?” you can’t find the reasoning.
One place for your entire product’s thinking. Every conversation, every platform.
The Graph shows how pricing connects to landing page copy connects to launch plan — they all share the positioning theme.
When asked “why that price?”, show the exact reasoning chain across 3 conversations.
Import your ChatGPT history. “You’ve discussed auth 12 times — maybe it’s time to decide.”
“Ligature is like a chief of staff who attended every AI conversation and can brief me in 30 seconds.”