AI Chatbot designed for TechFoundry's Inventory Management System
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Built on Meta's public Ad Library, Gemini, GPT Image, Claude, Hermes, Kitt and AgentMail.
It reads the ads a company's rivals are running, turns them into a report built for that company, and writes to a named person there. The follow-up stops itself the moment they write back.
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This one was part of a concept were i explored AI-generated cinematic UI mockups. I used this prompt to generate a realistic NYC weather forecast interface that looks like it belongs in a sci-fi film, yet grounded in everyday use.
Use cases.. Perfect for explainer videos, UI/UX inspiration, futuristic product demos, or content creators building immersive visual environments.
Prompt used:
Visualize the current live weather report for New York City. Render it as a futuristic, high-fidelity glass UI widget floating over a rainy NYC street background. Use accurate real-time data.
One thing I’m learning with node workflows like Flora and Weavy is that each step needs to be specialized. Then you layer in the specifics.
A lot of what I’m building right now is for branded imagery. With image models, you get plenty of unwanted artifacts, strange details, and gooey limbs, so it can take a few passes to get the final image where you want it.
I’ve always admired art directors for their eye for detail. These tools force you to put that hat on.
The thing I wish these tools had is a better way to draw, mark up, and revise as you move through the workflow.
In any case, I’m really proud of the images that are coming to life.
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Do you know someone building a new food, nutraceutical, or supplement product? I am a food scientist and product engineer who helps emerging startups and established brands turn initial concepts into shelf-ready reality. Having a rock-solid scientific foundation makes brand strategy, packaging design, and marketing so much easier to execute. If you are working with a founder who needs help scaling their formula, I would love to connect and collaborate.:
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The 6 Stages of the Digital Property Buyer
And where real estate companies lose them.
A property buyer rarely goes from seeing an ad → visiting a website → submitting an enquiry → buying.
The journey is far more complex.
For our latest YUKTAAI Research, we analyzed and synthesized findings across 29 industry reports, studies and research sources covering digital buying behaviour, UX, conversion psychology and real estate buyer behaviour.
The research draws on work from organizations including Baymard Institute, Microsoft, Nielsen Norman Group, CXL and the National Association of REALTORS® (NAR).
What emerged was a clear 6-stage digital property journey:
Awareness → Search → Evaluation → Inquiry → Verification → Closing
And buyers can disappear at every stage.
Outdated pricing during search.
Hidden fees or unclear payment plans during evaluation.
Long forms and gated information when they're ready to enquire.
Slow responses after they've already shown intent.
The interesting part?
The problem isn't always generating more traffic.
Sometimes the buyer is already on the website.
The real problem is helping them move confidently from one decision to the next.
We mapped the full journey and the major friction points below. Want the deeper research behind this framework? Reach out to YUKTAAI.
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Testing out Gemini's new video feature for Instagram post ideas - thoughts?