Standup on Roumy:
“Codex, give them my update.”
It reviewed the codebase, joined the room with me, and told everyone where I’m at.
This is what I mean by:
You + your agent. Same seat.
Try Roumy: roumy.io
Free during beta. Bring your agent through a browser or agent host that supports WebMCP.
What would you ask your agent to help with during a meeting?
We taught AI agents to write code, query data, and ship work.
Then the meeting starts—and we leave them outside.
I built Roumy so you can bring yours into the room.
Private help. A shared stage when invited.
You + your agent. Same seat.
Watch it happen ↓
Try Roumy: roumy.io
Free during beta. Bring your agent through a browser or agent host that supports WebMCP.
What would you ask your agent to help with during a meeting?
Astra is here and first task of the weekend is on: rebuilding Roumy's landing page.
Let's see how it goes.
yuns retweeted
It's truly the best time to build…
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yuns retweeted
I ship faster than 99% of devs
not because I'm smarter — my agentic setup does the heavy lifting
just copy me, it's all in the video
Champ champ
The CAF Appeal Board decided that in application of Article 84 of the Regulations of the CAF Africa Cup of Nations (AFCON), the Senegal National Team is declared to have forfeited the Final Match of the TotalEnergies CAF Africa Cup of Nations (AFCON) Morocco 2025 (“the Match”), with the result of the Match being recorded as 3–0 in favour of the Fédération Royale Marocaine de Football (FRMF).
cafonline.com/news/caf-appea…
10 years of corporate work taught me something most tech people get wrong about enterprises:
The main blocker of innovation isn't budget. It's not awareness. It's not resistance.
It's change management.
"If it works, leave it" — that's not laziness. Big enterprises have mastered their systems. It might look broken from the inside, but from the outside? It works.
Except now the stakes have changed.
A company that deeply integrates AI vs. one that doesn't — in a few years, the performance gap won't be incremental. It'll be day and night.
I spent the last 3 years going full throttle on AI. Built systems, automations, trained models. Startups, agencies — I loved it.
But every time it came to enterprises, the same cycle played out:
"Wow, this is fascinating."
Then the integration nightmare.
Then the solution becomes an orphan in an ecosystem that rejects it.
Then the project dies quietly.
Every. Single. Time.
For a while I blamed the enterprises. Too slow. Too rigid.
Then I realized: the problem was never them. It was us.
The AI industry keeps asking enterprises to change everything for a technology that changes every 6 months.
So I stopped building and started listening.
How do enterprises actually want to work with AI — not how the industry tells them they should?
The answer was always the same:
"Take what we have and make it smarter. Don't make us rebuild."
That was the breakthrough.
AI shouldn't replace what exists. It should make what exists intelligent.
Same APIs. Same backend. Same logic. But now users say what they need — and the product acts.
That's Kairn. The agentic layer for existing products.
→ Soul — how the agent behaves
→ Memory — persistent context per user
→ Skills — your APIs, now AI-invokable
→ Observability — every action auditable
Zero change management. Zero migration.
short visual walkthrough below ↓
🔗 kairn.sh
yuns retweeted
Hot take: the next wave of AI products won't be built from scratch.
They'll be existing products that become agentic.
Your users won't click through 14 screens to upgrade a plan. They'll say "upgrade me and add 3 seats" — and the product will do it.
But to get there, you need infrastructure:
→ A soul that defines agent behavior
→ Persistent memory across sessions
→ Skills that map to your real APIs
→ Full observability on every action
That's Kairn — the agentic layer for existing products.
We put together a visual walkthrough of what this looks like in production ↓
Every SaaS product already has the business logic.
What's missing is the layer that lets users just say what they need — and the product acts.
That's what we're building at Kairn.
Soul → defines how your agent behaves
Memory → remembers every user across sessions
Skills → connects to your existing APIs
Observability → full audit trail, model-agnostic
No rebuild. No new backend. Just plug the agentic layer into what you already have.
We made a short film to show what this looks like ↓
