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Dipti Sharma

@Diptish09 • 29,166 subscribers

AI & Tech Enthusiast | Helping Brands in Product Launch | DM/Email to Collab📩 [email protected]

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OCT 30 IS THE LAST DAY, and I'm making some noise about it! Up to 60% OFF CapCut Pro and 40% OFF Ultra, Oct 20–30, Desktop only. I needed a 15-second ad without wrecking my finished 30-second version. #capcutpc #capcutsale

OCT 30 IS THE LAST DAY, and I'm making some noise about it! Up to 60% OFF CapCut Pro and 40% OFF Ultra, Oct 20–30, Desktop only. I needed a 15-second ad without wrecking my finished 30-second version. #capcutpc #capcutsale

67,624 views

Okay, this Black Friday deal is a useful one 👀 Save up to 60% on CapCut Desktop, ending Oct 30. Desktop Only! You can create a Halloween marketing video with AI on CapCut PC, then keep editing instead of settling for whatever comes out first. #capcutpc #capcutblackfriday

Okay, this Black Friday deal is a useful one 👀 Save up to 60% on CapCut Desktop, ending Oct 30. Desktop Only! You can create a Halloween marketing video with AI on CapCut PC, then keep editing instead of settling for whatever comes out first. #capcutpc #capcutblackfriday

97,434 views

This wasn’t supposed to be easy. Multi-shot. Cinematic. Fully scored. The kind of thing only studios could do. I made it solo with Seedance 2.0. Here’s exactly how I did it.

This wasn’t supposed to be easy. Multi-shot. Cinematic. Fully scored. The kind of thing only studios could do. I made it solo with Seedance 2.0. Here’s exactly how I did it.

238,144 views

Most AI tools help you write. Almost none help you get found. That’s the real problem. Drop your website URL. See your GEO AI visibility in seconds. Because discovery isn’t just Google anymore. It’s ChatGPT, Reddit, social, and your funnel. If you’re not optimized for this, you’re invisible. That’s where WorkfxAI stands out.

Most AI tools help you write. Almost none help you get found. That’s the real problem. Drop your website URL. See your GEO AI visibility in seconds. Because discovery isn’t just Google anymore. It’s ChatGPT, Reddit, social, and your funnel. If you’re not optimized for this, you’re invisible. That’s where WorkfxAI stands out.

62,471 views

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40+ hours of monthly reporting. GONE! Not because someone built a complex automation. Because an agent watched someone do the job once. I came across this Akai workflow from Deel and this is the part that blew my mind. Gal's monthly reporting process touched NetSuite, Payhawk and Zip. Different systems. Different entity codes. Different formats. Then it had to reconcile four levels deep: Subsidiary → department → cost centre → account category. One mistake anywhere could throw off the entire report. Normally, that meant 40+ hours of exports, cleanup, reconciliation and detective work every month. Instead, Gal recorded himself doing it in Akai and explained what he was doing as he went. Akai figured out the connections. It learned the workflow. It even learned the weird stuff. One system had no proper API, so Gal showed it the manual login and export process. He corrected an entity mapping once. Akai remembered it. He showed it that every reporting level had to reconcile. Akai turned that into a validation rule. He stopped for human review before publishing. Akai learned that too. And when the workflow needs changing? You don't rebuild the automation. You comment on the step. "I don't do it like this." Done. That's the shift I'm seeing with agents: We're moving from telling software what to do to showing software how the work gets done. The result here? 40+ hours → <1 hour. And Akai was built by deel to automate its own back office before they started selling it to everyone else. Comment "hours" and I'll send you 20 things a 100-person company could automate this month.

40+ hours of monthly reporting. GONE! Not because someone built a complex automation. Because an agent watched someone do the job once. I came across this Akai workflow from Deel and this is the part that blew my mind. Gal's monthly reporting process touched NetSuite, Payhawk and Zip. Different systems. Different entity codes. Different formats. Then it had to reconcile four levels deep: Subsidiary → department → cost centre → account category. One mistake anywhere could throw off the entire report. Normally, that meant 40+ hours of exports, cleanup, reconciliation and detective work every month. Instead, Gal recorded himself doing it in Akai and explained what he was doing as he went. Akai figured out the connections. It learned the workflow. It even learned the weird stuff. One system had no proper API, so Gal showed it the manual login and export process. He corrected an entity mapping once. Akai remembered it. He showed it that every reporting level had to reconcile. Akai turned that into a validation rule. He stopped for human review before publishing. Akai learned that too. And when the workflow needs changing? You don't rebuild the automation. You comment on the step. "I don't do it like this." Done. That's the shift I'm seeing with agents: We're moving from telling software what to do to showing software how the work gets done. The result here? 40+ hours → <1 hour. And Akai was built by deel to automate its own back office before they started selling it to everyone else. Comment "hours" and I'll send you 20 things a 100-person company could automate this month.

531,033 views • 1 month ago

A voice interface has to accommodate a thought that isn’t finished yet. In Gakku.ai’s workshop, the learner moves from preferring movies to choosing books after weighing excitement against imagination with Raku. The opinion card changes, and the map reorganizes around reasons for reading. The interface gives that change of mind a visible form. The conversation and visual structure refer to the same developing thought. That coherence gives the learner something stable to examine while they reconsider what they mean. For learning, the interface needs room for the thinking to evolve. Watch a conversation reshape an opinion:

A voice interface has to accommodate a thought that isn’t finished yet. In Gakku.ai’s workshop, the learner moves from preferring movies to choosing books after weighing excitement against imagination with Raku. The opinion card changes, and the map reorganizes around reasons for reading. The interface gives that change of mind a visible form. The conversation and visual structure refer to the same developing thought. That coherence gives the learner something stable to examine while they reconsider what they mean. For learning, the interface needs room for the thinking to evolve. Watch a conversation reshape an opinion:

38,991 views • 11 days ago

Most AI tools stop at generating text. The real test is whether they understand *systems, workflows, and developers*. I tested GLM-4.7 from a builder’s perspective — UI, architecture, apps, and core logic.

Most AI tools stop at generating text. The real test is whether they understand systems, workflows, and developers. I tested GLM-4.7 from a builder’s perspective — UI, architecture, apps, and core logic.

122,634 views • 10 months ago

The shift isn’t from AI to better AI, it’s from generic to truly yours.

The shift isn’t from AI to better AI, it’s from generic to truly yours.

32,740 views • 7 months ago

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