Future With AI 🤖 | AI Tech & News | Powerful AI Tools Influencer Marketing biz: [email protected] For Collab DM - Whatsapp: +8801347226859
Chicago, IL, USA
Joined April 2026
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Who needs a plain desktop when you can have a little girl dancing and playing right on your screen? 💃🌈 It's the cutest little upgrade your workspace could ask for!
Speaking of AI creativity, the CapCut plugin is now available for early access on ChatGPT desktop, following CapCut World's collaboration with OpenAI on AI-powered video creation workflows.
Just copy and paste the prompt to see it for yourself. Mobile and web support is expected in mid-November.
#CapCutWorld #CapCutDidThat #CapCutWeb #ChatGPT
🤝 Paid partnership
The value of AI in development comes from helping people build and improve software more effectively.
DeepSeek-Flash is free in Qoder through Oct 31, with daily usage costing zero Credits.
Explore: qoder.com/qoder
🤝 Paid partnership
Sienna retweeted
I'd be interested in seeing how well an agent handles routine code changes while keeping the existing project context in mind.
DeepSeek-Flash is available at 0.0x Credits through Oct 31 in Qoder.
Download and explore: qoder.com/qoder
🤝 Paid partnership
Big video ideas can start with just a few words. 💬🎞️ CapCut World united creators in LA to explore how AI makes the journey from inspiration to video easier than ever. Start creating with the CapCut plugin on ChatGPT desktop, then take your video further with CapCut Web. ChatGPT mobile and web support is expected in mid-November.
#CapCutDidThat #ChatGPT #CapCutWorld
🤝 Paid partnership
Sienna retweeted
script based editing is live in HyperFrames Studio
edit long-form and scripted videos from the script itself
auto speech cleanup takes out the pauses and ums for you
then click any word and ask for a motion graphic right at that moment
get started ↓
Seedance can generate videos, but filmmaking also involves keeping things consistent and making changes along the way. Those details matter just as much as the first result.
Sienna retweeted
HeyGen Video 1 went up against today's leading video models in a blind test on @ArtificialAnlys.
Our first general-purpose video model ranked #1 in text to video.
Try it: platform.heygen.com/models/h…
Sienna retweeted
Running Eleven v4 and Seedance 2.5 together used to mean two tabs, three exports, and a lot of hoping. Chimera does it in ElevenCreative end to end.
🤝 Paid partnership
What if your character could finally say it themselves? With Chimera they can.
Chimera pairs two of the world’s leading models, Eleven v4 and Seedance 2.5, to create realistic video with rich, emotional voices.
In ElevenCreative, create or upload a character, write their line, and pick a voice or design one to match. Direct the performance with audio tags like [whispers], [laughs] and [yells] to control the timing and mood of every word.
Eleven v4 puts the emotion in the voice. Seedance 2.5 carries it onto the face.
Sienna retweeted
HeyGen holds the top two spots on the @ArtificialAnlys text to speech leaderboard.
#1 HeyGen Voice Turbo
#2 HeyGen Voice
Turbo is the faster, cheaper mode of the voice model behind every HeyGen video. It's live on the API, and the Turbo endpoint is free until November 30.
Can EverOS distinguish firm requirements from conditional decisions, like reconsidering a managed database only when traffic justifies the cost?
#EverMind #EverOS
🤝 Paid partnership
Most agents forget past decisions the moment a new chat starts. I wanted to see if EverOS Cloud could hold onto one and bring it back later. For a sample internal tool I recorded these constraints:
- Use Postgres
- Keep monthly cloud spend under $120
- A $200 managed database option was rejected
- Only reconsider if traffic justifies the extra cost
In a new session I asked for database recommendations. The retrieved memory included the earlier choice and budget limit, and the suggestion stayed inside those boundaries. No need to re-explain the decision.
When saving and retrieving memory through the API, can EverOS provide clearer diagnostics if authentication or retrieval fails?
#EverMind #EverOS
🤝 Paid partnership
New engineers often waste days hunting for “why we made that architecture choice” or “what we already tried last quarter.”
I tested EverOS Cloud with one real task: saving and retrieving context from a past troubleshooting note.
I connected through the EverOS Cloud console and used the Chat Interface Playground. I saved a short note about a previous interface issue (“login button failed on mobile after the last deploy — fixed by clearing cache and checking the auth header”).
Before starting a related follow-up task, I retrieved that context. The returned memory included the earlier issue and the fix that worked. I then checked Memory Bank to browse the saved entry.
In this test I demonstrated saving and retrieving User Memory. I did not create an agent Case or Skill, so I am distinguishing those capabilities from what I verified. Memory Bank was used only for browsing; correcting, deleting, or rating entries is done through the API.
What I observed: the saved context came back clearly when retrieved, which makes it practical to carry relevant history into the next task instead of starting from zero.
Subscribe to Pro now and get 3× your monthly usage allowance for 6 months → everos.evermind.ai
Can EverOS prioritize project-specific decisions over older memories when both seem relevant to a new task?
#EverMind #EverOS
🤝 Paid partnership
AI agents shouldn’t have to start from scratch every time they handle a task. They need a way to learn from past experience. 🧠
That’s what makes EverOS Cloud interesting.
It helps AI agents save task experiences as Cases, turn recurring knowledge into reusable Skills, and retrieve relevant context when similar tasks come up again.
You can also connect business documents, PDFs, and spreadsheets to searchable memory, helping agents work with the knowledge your team has already built.
🚀 Explore EverOS Cloud and see how persistent memory can improve your AI workflows.
🔗 Get started: everos.evermind.ai
🎁 Subscribe to Pro and get 3× your monthly usage allowance for 6 months.
Sienna retweeted
I tested @evermind’s EverOS Cloud by giving an AI agent something important to remember: a project decision.
For my fictional SpendWise app, I saved:
→ PostgreSQL as the database
→ Infrastructure budget under $100/month
→ A managed database at ~$180/month rejected for exceeding the budget
→ Reconsider only if traffic or operational needs justify the cost
Then I opened a fresh session and searched EverOS for that decision. It retrieved the saved episode and profile, and the next-step recommendation respected those constraints, without resending the original decision.
That’s persistent memory in action: save context once, retrieve it later, and use it to inform the next task.
🤝 Paid partnership
Sienna retweeted
1/ Ever had an AI agent suggest an approach your team had already rejected?
The problem isn't always the model's ability to write code. Sometimes, it lacks the context behind your team's previous decisions.
I wanted to explore how EverOS Cloud could help solve this by giving agents access to past project experience.
🤝 Paid partnership
Sienna retweeted
AI agents shouldn’t have to solve the same problem twice.
I connected EverOS Cloud to my workflow through its API and tested it with a real memory retrieval flow.
I saved a debugging experience about a storefront crash caused by missing or null product prices, including the suggested fix: validate prices before formatting and add regression tests.
Later, I asked a different question about the same issue, and EverOS retrieved the earlier debugging context.
Same problem, saved experience, smarter retrieval. That’s the power of persistent memory. 🧠
Try EverOS Cloud: everos.evermind.ai/login
🤝 Paid partnership
Sienna retweeted
Every AI I use eventually forgets what I'm building. Chat gets too long, or I'm re-explaining the whole project from scratch
Tried @EverMind's EverOS Cloud. Went through the docs and liked how it organizes context into profiles, episodes, and a Memory Bank.
Built a small chat app on its APIs. Real use case:
I'm building a student resume portal for my college. Students showcase skills and resumes, alumni search by skill, review profiles, and find people for referrals and collabs.
Video shows the workflow and the Memory Bank 🚀
Tired of starting from zero? Check it out:
everos.evermind.ai
🤝 Paid partnership