Adriel

AI & Tech Educator | Sharing practical insights on AI, emerging tools & technology | Helping you discover smarter ways to work & create | DM for Collaborations

[Adriel @Adriel10k]

🤖 AI is shaping tomorrow, one idea at a time.
Smarter tools, endless possibilities, and a future full of innovation. 🚀✨

#AI #Innovation #FutureTech

[Adriel @Adriel10k]

🤖 Imagine more. Create smarter. Build the future with AI.🚀

#AI #ArtificialIntelligence #Innovation #FutureTech

[Adriel @Adriel10k]

Turning a simple coffee product into a cinematic 3D ad with AI. ☕✨

From swirling beans and coffee splashes to the jar assembling mid-air, AI transforms a static idea into a polished, high-end visual experience.

Built with AI. Powered by creativity.

[Adriel @Adriel10k]

Turning a static product image into a cinematic video with AI. 🤯

From a simple Fanta Watermelon can to a realistic cutting scene with flowing liquid, detailed textures, and smooth motion.

AI is literally bringing still images to life.

[Adriel @Adriel10k]

A portfolio with a personality of its own.

Built with AI—from the visual direction and layout to the animations and overall experience. It’s a great example of how AI can take a simple creative idea and turn it into a complete, distinctive digital experience.

[Adriel @Adriel10k]

Spent some time experimenting with Dreamina Seedance 2.5, and the results keep getting better. 🤯

What stands out is how well it turns a simple creative idea into a polished video while keeping the visuals consistent and engaging.

Another experiment, another impressive result.

[Adriel @Adriel10k]

AI is starting to make the entire creative process feel like one connected workflow. 🤯

From generating the product to developing the concept, storyboards, cinematic shots, and UGC, one idea can now evolve into a complete campaign.

[Adriel @Adriel10k]

“Sometimes, the most beautiful friendships are the ones we never expected to find. They remind us that kindness has no boundaries, and that even the smallest moments of trust, warmth, and companionship can turn an ordinary day into something truly special.” 🐱🐰🌸

[Kiran Bharambe @Bharambe2Kiran]

💥JUST IN: Seedance 2.5 and Minimax-H3 are now officially live on GlobalGPT!

Generate stable 30 sec videos in one click. Seedance 2.5 can cut your marketing production costs by 10x.

Smart teams are already using it to create ads, short dramas, IP characters, and more👇

[Adriel @Adriel10k]

Finding a remote job isn't the hard part.

Knowing where to look is.

Here are 10 websites that consistently list legitimate remote opportunities in 2026 👇

[Adriel @Adriel10k]

Need more AI videos for less?

Dreamina Seedance 2.0 Mini delivers quality close to Seedance 2.0 Fast, runs 2× faster, and costs about 30% less.

Launch offers:
• 33% lower Mini-720P credits
• Up to 60% off CapCut Pro

https://t.co/VRrSt64qUr

#Seedance2Mini #CapCut

[Adriel @Adriel10k]

@KaiteeShiks @Accio_official Open-sourcing the environments makes this even more useful.

[Kaitee @KaiteeShiks]

What happens when you stop evaluating an AI agent by its answer and start evaluating it by the work it leaves completed?

That’s what caught my attention about Commerce Agent Bench. @Accio_official just open-sourced a benchmark built around 107 real-world tasks spanning procurement, product listing, operations, order fulfillment, and after-sales ... across browser, API, CLI, and files.

No multiple-choice, no toy Q&A. Agents have to work across email, browsers, calendars, docs, supplier platforms, and logistics systems, pulling signal out of messy real-world data and actually executing, not just describing what they’d do.

Here’s the part I didn’t expect: this isn’t testing whether AI can "replace the buyer." It’s built around how e-commerce actually works right now ... humans make the key decisions, while agents handle professional-grade execution and advising underneath. That framing alone makes it more useful than most "AI beats human" benchmarks I’ve read.

One of the wildest tasks: an agent gets ~300 messy procurement emails and has to reconstruct the truth. Verify suppliers across aliases and shared addresses, rebuild the final valid quote through multiple revisions, normalize six Incoterms and four currencies into landed cost, and catch a BEC payment-redirection scam hiding in a lookalike email ... all without flagging legitimate mail as fraud.

What actually makes this rigorous, though, is the grading. Scoring isn’t based on what the model says ... it’s based on what it leaves behind. Did it apply the right label? Save the right draft? Create the calendar event? Get a real shipment ID from the freight platform?
No self-reported summaries, no partial credit for a good explanation. Either the trace exists in the system, or it doesn’t. That’s a genuinely different bar from most agent benchmarks I’ve seen.

The data behind it is what gives it credibility: 10M SME users → 1.6M full conversations → 200K execution traces → 2,000 high-value workflows → distilled down to 107 tasks, filtered for reproducibility and decidability.
This wasn’t invented in a lab. It was distilled from real Accio workflows .. then rebuilt as mock environments, so agents can be tested safely.

And the people setting the questions are the same people running the workload: Accio serves 10M SMEs worldwide (30x growth in a year), backed by Alibaba’s 27 years of e-commerce operations. When the exam writer is also the one fielding the real support tickets, the exam tends to be a lot harder to game.

My take: agent benchmarks should measure more than how convincingly a model can explain what it would do. The real test is whether it can execute the task correctly and leave verifiable evidence behind.

That’s the bar agentic AI needs to be held to before anyone hands it a real storefront.

It’s open-source and actively updated (v1.3.1), and the team is inviting people to contribute mock environments.
🔗 https://t.co/YW96RRBgqF

[Adriel @Adriel10k]

@Ulobex Most people want useful outcomes, not another complicated dashboard.

[Ulobex  @Ulobex]

Powerful AI tools launch every day.

But actually using them often means dealing with APIs, configuration files, credits, and errors.

Taku 2.0 is built around a simpler idea:

AI shouldn’t be another technical system people have to learn. It should just work.

Here’s what that looks like:

[Ulobex  @Ulobex]

The hardest part of managing brand deals isn’t creating the content.

It’s remembering which draft needs approval, what goes live next, and which payment is still outstanding.

Mine was spread across notes, calendars, spreadsheets, and messages.

So I described the workflow to Base44 and built SponsorDesk, a simple dashboard for campaigns, deadlines, approvals, and payments.

It took me less than 5 minutes, and the form, filters, records, and totals were already working.

At what point does building a small internal tool become easier than paying for another SaaS product?

Paid partnership with @Base44

[Adriel @Adriel10k]

meu histórico ouvindo que o ENEM é a parte mais fácil da vida acadêmica (em
2026 vai)

[Adriel @Adriel10k]

"Hoje eu durmo cedo."

Eu também às 2h47:

[Adriel @Adriel10k]

VENDO INGRESSO X FUTURE ADRIATIQUE
São Paulo SP 26/09

INGRESSO MEIA SOCIAL PISTA
R$350

[Adriel @Adriel10k]

Eu me preparando para a volta às aulas

[Adriel @Adriel10k]

Sim, a carteirinha de estudante é facilmente o meu top 3 de motivos pra continuar estudando, e se você ainda não tem a sua, é só acessar o link que está na bio da nossa página, solicitar a sua e começar a economizar nos roles