AI isn’t expensive.
Re-processing the same context is.
Every summary, doc, or “quick insight” often re-reads the same data and bills you like it’s new.
That’s how output ends up costing more than input.
Not a model problem, but a context problem.
So, we have built Capsules: store context once, reuse it anywhere.
And soon, not just prompts… but everything around them too.
Feels obvious in hindsight.
Are others seeing this?
#AI
@cto_ya_know@rohanpaul_ai Well, the delivery of the same is through an extension to allow users to use it easily, but its much more than just that!
Really love the "fancy ragdb" term tho! But we not only peform RAG but also version, share and plug into essentially any tool of your choice
Hi! Love this and this is exactly what we are solving!!
We are building 💊Capsules, which are basically artifacts that can transfer context from one tool to another as easily as a drag and drop, while being versionable and shareable.
It’s persistent state context which is dynamically injected, prevents context rot, hallucinations and fetches context as needed!!
Imagine this, you “capsule” an email, drop it into gpt for ideas, drop the same versioned capsule into figma to create decks, and finally into Cursor. Connect to ANY agent using our MCPs.
Without ever repeating yourself.
Check us out! We are already live!
Product: https://t.co/BtxRrzXpv4
Brilliant viewpoint!
We agree 100% and WE SOLVE THIS!
Files? No.
Capsules. Yes.
We are building 💊Capsules, which are basically artifacts that can transfer context from one tool to another as easily as a drag and drop, while being versionable and shareable.
We take care of the “when” using Dynamic Context Injection!!
Imagine this, you “capsule” an email, drop it into gpt for ideas, drop the same versioned capsule into figma to create decks, and finally into Cursor. Without ever repeating yourself.
Check us out! We are already live!
Product: https://t.co/BtxRrzXpv4
Files? No.
Capsules. Yes.
We are building 💊Capsules, which are basically artifacts that can transfer context from one tool to another as easily as a drag and drop, while being versionable and shareable.
Exactly as you mentioned, persistent context state. That is never lost!
Imagine this, you “capsule” an email, drop it into gpt for ideas, drop the same versioned capsule into figma to create decks, and finally into Cursor. Without ever repeating yourself.
Check us out! We are already live!
Product: https://t.co/BtxRrzXpv4
This is great! But with multiple AI tools out there even with the best prompts, you need to re-explain yourself, have context rot and hallucinations.
We are building 💊Capsules, which are basically artifacts that can transfer context from one tool to another as easily as a drag and drop, while being versionable and shareable.
Imagine this, you “capsule” an email, drop it into gpt for ideas, drop the same versioned capsule into figma to create decks, and finally into Cursor. Without ever repeating yourself. Connect to ANY agent using MCPs.
Check us out! We are already live!
Product: https://t.co/BtxRrzXpv4
Hi !
We are building 💊Capsules, which are basically artifacts that can transfer context from one tool to another as easily as a drag and drop, while being versionable and shareable.
Imagine this, you “capsule” an email, drop it into gpt for ideas, drop the same versioned capsule into figma to create decks, and finally into Cursor. Without ever repeating yourself. Connect to ANY agent using MCPs!
Check us out! We are already live!
Product: https://t.co/BtxRrzXpv4
Hi !
We are building 💊Capsules, which are basically artifacts that can transfer context from one tool to another as easily as a drag and drop, while being versionable and shareable.
Imagine this, you “capsule” an email, drop it into gpt for ideas, drop the same versioned capsule into figma to create decks, and finally into Cursor. Without ever repeating yourself.
Check us out! We are already live!
Product: https://t.co/BtxRrzXpv4
Feature Video: https://t.co/CcOb9GsoAe