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For this challenge I built a mobile app called Field Signal, a field intelligence prototype for commercial real estate site visits.
It helps an investor or broker capture signals like visibility, access, tenant condition, and risk, then turns those observations into a live deal pulse and structured field memo.
How I used Stitch: I started in Google Stitch with streaming generation, used in place edits to refine the product flow and motion, and used a DESIGN.md file I prepared to keep the visual system tight across screens before pushing it into a live prototype through Google AI Studio.
Feedback: Stitch felt strongest as an iterative design partner. Streaming and in-place edits made it fast to move from concept to something that actually felt alive and interactive. Super useful & excited to see how this tool integrates with the creative process going forward!
Beautifully executed.
Well executed
Wow, this is so nice!
This is amazing!
You brought something really special to this challenge.
Wow, Ken, this is an incredibly practical and high-value use case for the challenge! Bringing real-time field intelligence and risk-factor capturing into commercial real estate is a brilliant concept.
I love your workflow of using a pre-prepared DESIGN.md file to anchor the...
Really smart informational pacing structured across this field research platform.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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I designed this using Stitch and send it to Figma.
The point is, Googlestitch can do everything.
What do you think?
Is stitch able to generate photo too? I love to try!
AgentOps Deal Desk
AgentOps Deal Desk is an AI-assisted dashboard that helps freelancers and service operators convert scattered opportunities into a ranked action pipeline. It scores each deal by fit, urgency, budget, readiness and risk, then turns that signal into a proposal angle, bid range and delivery checklist.
Category: Dashboard.
What it does: the app turns freelance and consulting opportunities into a deal pipeline. Each opportunity has a win score, readiness score, budget, deadline, category and status. Selecting a deal opens a structured view with the client pain, proposal angle, bid range, delivery checklist and risk flags.
How it builds on the Bubble AI baseline: I started with a Bubble AI-generated app foundation from a detailed product prompt covering the dashboard category, opportunity scoring, proposal angles, bid ranges, delivery checklists, risk flags and the core navigation. I then refined the product concept around decision speed: helping an operator know which deal to chase, how to position it and what proof is needed before sending a proposal.
Demo video and AI baseline proof are attached.
Great attention to detail. The result feels very refined.
Looking back at my project for #ConfigMakeathon, it's amazing to see how an idea evolved from a few sketches in my notebook to a full-blown interactive AR prototype.
Designing the 'AI Arboretum' was a deep dive into botanical intelligence and UI/UX. The biggest challenge was making complex data (like tree age and disease analysis) feel simple and intuitive for everyday users.
Creating for the Makeathon was intense, but the feedback from this community has been the highlight. Whether you're a nature lover or a fellow designer, I'd love to hear your thoughts on how we can use AI to connect more deeply with our environment.
Thank you all for the support during this journey!
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