The screenshot-to-Figma workflow is dying

A new Chrome extension lets you point at your product, talk through changes, and turn it into a spec for coding agents.

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How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads

The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.

Rezonant lets you point at your live product, talk through changes, and turn that into specs for coding agents.

Product teams have a weird problem right now.

Coding agents are getting insanely fast.

But the handoff before the code is still painfully slow.

You still take screenshots.
Drop them into Figma.
Draw arrows.
Write comments.
Explain what you meant.
Then open a doc.
Then write a ticket.
Then wait for an engineer or agent to understand the intent.

That entire workflow is starting to feel ancient.

I found a new tool called Rezonant that attacks this exact problem.

And the idea is simple:

Instead of writing long specs from scratch...

You just point at your product and talk.

Here’s how it works:

You install the Chrome extension.

You hit record.

You open your live product.

Then you click, point, and talk through the changes you want.

Alter captures what you say out loud and what you point at on the screen.

Then it maps that feedback back to your product and codebase.

So instead of writing something like:

“Change the CTA button on the dashboard card under the chart near the top right.”

You can just point at the button and say:

“Make this CTA more prominent and update the copy for the new onboarding flow.”

Alter turns that into a real product handoff:

• PRD
• Product spec
• Engineering tickets
• Context for Claude Code or other coding agents

This is the important part.

Coding agents made building faster.

But they did not fix the question of what should be built.

That is still messy.

PMs still write static docs.
Engineers still decode vague feedback.
Agents still hallucinate intent.
Teams still lose hours because the product context was not clear enough.

Rezonant Alter is not just another AI writing tool.

It is trying to fix the gap between human product thinking and agent execution.

The old workflow looked like this:

Screenshot → arrows → Figma comment → doc → ticket → clarification call → code

The new workflow looks like this:

Point → speak → spec → agent

That may sound small.

But for product teams, this is a huge shift.

Because the fastest way to explain a product change is not always writing.

Sometimes it is literally pointing at the thing and saying what needs to change.

That is what Alter turns into a workflow.

Free Chrome extension here: https://rezonant.app/

Safety claims meet basic access failure

Anthropic says Mythos is dangerous enough to tightly limit, yet outsiders reportedly got in on day one.

Bloomberg reports a small group of unauthorized users accessed Anthropic’s new Mythos model through a private online forum. The access began the same day Anthropic announced limited testing for selected companies, and users have continued using it regularly.

This is the awkward gap in AI safety right now. Companies talk about model risk at the frontier level, but sometimes the weak point is ordinary access control, credentials, or rollout process. That matters more than polished policy language.

Expect customers and regulators to ask harder questions about who can actually touch these systems, how logs are monitored, and how quickly access can be revoked. In a market built on trust, small leaks can sound louder than benchmark wins.

If companies cannot secure early access, what happens when these models are everywhere?

SpaceX is buying time in AI

A rocket company may spend $60 billion on coding software months before going public.

SpaceX said it has a deal with Cursor that lets it either buy the startup later this year for $60 billion or invest $10 billion now. Cursor makes AI coding tools, hit $100 million in annual recurring revenue in under two years, and says limited computing power has slowed its growth.

This looks less like a clean acquisition and more like a fast repair job for Musk’s AI position. Cursor brings product traction and developers right away, while SpaceX brings chips, data centers, and cash. The timing matters.

If this closes before the IPO, public investors may be buying an AI story as much as a space company. You can almost hear keyboards late at night as rivals OpenAI and Anthropic push harder into coding tools.

Does SpaceX still know what business it is in, or is that now the point?

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