Akorede Ogunsola

Building @clipra_app

Turn a product description into pro motion graphics by chatting. Built for SaaS founders. Shipping daily.

[Akorede Ogunsola @certified_coder]

Still in internal testing, but Clipra is already creating motion graphics we're genuinely proud of.

This entire video was generated by chatting with an AI agent.

No timeline.
No keyframes.
Just describe what you want, and Clipra brings it to life.

More updates soon. 👀

[Akorede Ogunsola @certified_coder]

Exactly. The model is becoming the commodity layer.

The interesting moat is increasingly everything around it: permissions, context, tools, distribution, execution and persistence.

A smarter model that can't safely access the right system is still waiting for a human to move the work forward.

Once it can access the right data, take scoped actions and keep working, the model improvement suddenly compounds.

[Akorede Ogunsola @certified_coder]

OpenAI just showed us what the next generation of software might look like.

And the biggest announcement wasn't a model.

I went through the DevDay launches and there's a pattern hiding underneath them:

AI is moving from something you talk to → something you delegate work to.

Here's what OpenAI actually launched 🧵

1. Dots

Always-on agents that can keep working toward goals.

The shift:

Chatbot → Agent → Persistent worker.

2. GPT-6.1 Sol

A new model optimized for agentic coding, computer use and professional work.

OpenAI says it delivers near-Astra intelligence at 1/5 of Astra's standard token prices.

Cheaper intelligence = agents can think, retry and work longer.

3. Ultrafast

Up to 6× faster API generation and up to 300 tokens/sec in Codex.

When AI is actually doing work, latency becomes part of the product.

4. Computer Use

Agents can operate software, not just call APIs.

Browsers.

Dashboards.

Internal tools.

Legacy software.

This is a huge difference.

5. Codex Cloud

Coding agents can work remotely while your computer is off.

Codex is becoming less like autocomplete and more like a remote engineering team.

6. Codex Security

Scan repositories, investigate vulnerabilities and prepare fixes.

Again:

Detection → execution.

7. Decisions API

Give the model a finite set of possible actions and let it make the decision.

AI becomes part of the control system, not just the chat interface.

8. MCP Events

Software events can trigger AI workflows.

Something happens → agent notices → agent acts.

That's how agents become asynchronous.

9. Plugins

Developers can build interactive experiences directly inside ChatGPT.

ChatGPT is becoming a platform and distribution layer.

10. ChatGPT Space

People + agents working together around shared projects.

Then OpenAI added Pages, Slides, Teams, shared tasks, meetings and integrations with Slack/Teams.

They're building the workspace around the intelligence.

11. Sign in with ChatGPT

OpenAI is also becoming an identity/distribution layer for third-party AI products.

12. Enterprise Marketplace

OpenAI is building the ecosystem around the models.

Models → agents → tools → workspace → marketplace.

And that's where the real story appears.

OpenAI isn't just building a smarter chatbot.

They're building something closer to an operating system for AI-powered work.

The old workflow:

Human → software → result

The emerging workflow:

Human → goal → agent → tools → execution → result

That changes how we should build startups.

Don't ask:

“Where can I add AI?”

Ask:

“What entire workflow can I give AI responsibility for?”

That's exactly why I'm thinking differently about Clipra.

The interesting product isn't:

“AI generates motion graphics.”

It's:

Give Clipra a product → understand the brand → develop the creative direction → build the animation → render → inspect → repair → deliver.

The model is only one component.

The product is the agentic production loop.

DevDay made one thing much clearer to me:

We're moving from AI that generates to AI that executes.

And I think the startups built around that shift are going to look very different from today's AI wrappers.

[Nick Dobos @NickADobos]

RIP Jev

[Akorede Ogunsola @certified_coder]

@mariannehere @marclou One prompt? Wow.
Did it use Remotion or Hyperframes for the video?

[Akorede Ogunsola @certified_coder]

@Alisina_ai Was the video made programmatically? Using tools like Remotion or Hyperframes Or generated using LLM video generation API?

[adi @theadistar]

Aaaaaaand we're live!

https://t.co/nPDDFiiHc7

Find the full tech stack of any company.

[Emil Kowalski @emilkowalski]

I’ve reached a point where I’m like not excited about new models. There are too many releases, too many people overhype those releases, and it feels like marginal gains.

I feel like the models from the last few months are good enough for my coding needs at least.

[Akorede Ogunsola @certified_coder]

@mayuri_3015 Qwen

[Akorede Ogunsola @certified_coder]

@kritikakodes The fact that someone already built it doesn't mean there's nothing left to build.

It means the problem is real.

Your job is to figure out what they missed, who they missed, or how to do it 10x better.

[Akorede Ogunsola @certified_coder]

I’ve been teaching Clipra how to think like a motion designer, not a web designer.

This 30s video is one of the first results where I can actually see it clicking.

Good typography.

Good composition.

Intentional pacing.

Motion that follows the design instead of just decorating it.

There’s still a lot to improve, but this is exactly what I’ve been trying to build.

[Akorede Ogunsola @certified_coder]

https://t.co/DVp1Ka2P0m

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[Akorede Ogunsola @certified_coder]

AI made building software so cheap that the hard part is becoming more obvious:
knowing what not to build.

[Akorede Ogunsola @certified_coder]

I'm realizing that building in public isn't really about showing what you built.

It's showing what you tried, what failed, and what changed your mind

[Akorede Ogunsola @certified_coder]

I'm not trying to teach AI how to make motion graphics.

I'm trying to teach it how a motion designer thinks before making them.
That's a much harder problem.

[Akorede Ogunsola @certified_coder]

The scary part about AI coding isn't that it can write 1,000 lines in seconds.

It's that you can now build a bad idea before you've had enough time to realize it's a bad idea.

[Akorede Ogunsola @certified_coder]

@Dev_Manuell I haven't tried it.
I will keep it in mind

[Akorede Ogunsola @certified_coder]

Senviok 🔥

[Chekwubs ✝️👑 @Dev_Manuell]

Introducing @senviok
A communication API built for developers to send emails, SMS, and more through one simple way.
Fast integration. Reliable delivery. Built for builders.

After a long beta testing phase, now in public

https://t.co/VWGY7XcQSS

[Akorede Ogunsola @certified_coder]

AI didn't kill the need for programmers.

It made programmers ridiculously cheap to multiply.

Now the scarce resource is taste.

[Akorede Ogunsola @certified_coder]

Is AI actually making people better at coding, or just making bad developers ship faster?

[Elon Musk @elonmusk]

This is the future we shall bring into being

[Akorede Ogunsola @certified_coder]

AI didn't kill the need for programmers.

It made programmers ridiculously cheap to multiply.

Now the scarce resource is taste.