A new day, a new AI model announcement.
I tested Fable 5 today with @sesori_ai, reviewing one of my PRs.
At @vesprwallet, we review each other’s code not just to catch bugs, but to improve quality, architecture, performance, testing, and maintainability.
So when you’re
On Cardano, native assets are part of the ledger.
That means ADA, tokens, and NFTs can live together in the same wallet without every asset needing its own smart contract.
👇🧵
There are tradeoffs.
Each output needs a small amount of ADA attached to it.
But at the user level, the model stays clean:
assets can live together,
move together,
and feel like part of the same Cardano experience.
That is the kind of UX VESPR is built around.
In practice, that makes the wallet experience cleaner.
One address can receive ADA and native assets.
Multiple assets can move in one transaction.
And wallets do not need users to manually add a token contract just to see what they hold.
On Cardano, native assets are part of the ledger.
That means ADA, tokens, and NFTs can live together in the same wallet without every asset needing its own smart contract.
👇🧵
Coding sessions can keep running while you are away from the laptop.
Then they need input, context, or one quick decision before they can move forward. That gap kept turning into lost time.
We looked around for a tool that solved it, and couldn’t find one that fit.
So we built
Building VESPR keeps teaching us the same thing: small teams have to stay sharp.
We look for ways to move faster, stay flexible, and do more with the resources we have.
@sesori_ai came from a problem we kept facing while building VESPR.
Run @opencode locally. Continue from your phone.
Sesori is now in beta, available for everyone:
– follow what the agent is doing
– keep multiple tasks moving in parallel
– use voice to guide the session
– stay in the workflow while you’re away
Your code stays on your machine.
One tiny approval can pause the whole flow.
No big deal when you’re at the laptop.
A different story when you step away and the session could’ve kept moving.