A lot of AI products look impressive in a demo.
The real test comes when thousands of users start showing up.
Inworld seems focused on making that transition more practical.
Lower costs make sustainable growth much easier.
We want to make AI accessible for everyone, so we're reducing our API prices by ~50%.
Consumer AI growth is still blocked by model costs. 97% of consumer AI users will never pay. But every session still consumes tokens.
This is the math we've found every consumer AI developer is stuck with. The model pricing they're forced to use, was built for $300/mo enterprise seats, not $10/month consumer subscriptions.
So we're taking a step to solve this with reduced pricing across TTS, STT and LLMs.
Teams like Wishroll, Biblechat, Talkpal, and Luvu are already seeing 40-95% reductions in their AI costs.
Full breakdown on our blog: https://t.co/iHorIMMzk9
Pricing details in bio link.
Instead of adding audio after the video is finished, you can define it while creating
HyperFrames makes video production feel more connected.
You can direct scenes, soundtrack, and effects in the same prompt.
Audio becomes part of the build, not another task waiting at the end.
Everything gets assembled in a single workflow
A HyperFrames video can look great visually,
but sound is often what makes it feel complete.
Adding music and a few well-placed effects changes the entire experience.
The same project suddenly feels more polished and intentional.
Audio does a lot of the heavy lifting in motion content.
Video is better with a beat
so we made our music and sfx library with 250k+ tracks free
available via the heygen cli
describe the vibe you want and get back options that match your content
then drop straight into your @HyperFrames_ or HeyGen video
get started below ↓
Video is better with a beat
so we made our music and sfx library with 250k+ tracks free
available via the heygen cli
describe the vibe you want and get back options that match your content
then drop straight into your @HyperFrames_ or HeyGen video
get started below ↓
What's the biggest difference between this AI cycle and the last DeFi cycle?
DeFi optimized capital flows.
AI Agents optimize productivity flows.
And if agents are going to collaborate, accept tasks, and earn income, identity becomes a fundamental requirement.
Claimed an AID from @NoosProtocol.
Worth around $30 and currently available via free claim.
https://t.co/ra70Wxz4d6
The future of AI isn't just smarter models.
It's systems that remember what matters.
Anthropic's code leak provided a rare technical window.
This blog explores the memory layer behind the experience.
Packed with insights worth studying.
Remember when Anthropic accidentally leaked their source code? We dug through it to understand the state-of-the-art in AI x Memory.
How does the @AnthropicAI harness handle persistent memory? Read our detailed blog: https://t.co/uPSdPpy7My
Remember when Anthropic accidentally leaked their source code? We dug through it to understand the state-of-the-art in AI x Memory.
How does the @AnthropicAI harness handle persistent memory? Read our detailed blog: https://t.co/uPSdPpy7My
Across 20 scenes, the consistency was impressive.
The product stayed accurate.
The character remained recognizable.
Nothing felt off or out of place.
That's harder to achieve than it looks.
Great content isn't created by working harder.
It's created by turning ideas into reality faster.
AI is making the journey from concept to finished video shorter than ever