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Your AI can remember everything—until you switch platforms.We turned one real GitHub issue plus 31 comments into 33 portable OKF memories, round-tripped them through Memanto, and measured 33/33 mapped, 0 removed, 0 changed, with 5/5 recall before and after.The 21-second proof:https://youtube.com/shorts/xfxojMyQi4sReproducible code and evidence:https://github.com/moorcheh-ai/memanto/pull/1813Would you trust an AI memory you cannot take with you?AI-assisted technical visualization; synthetic narration.
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The AI reply comments on here are out of control.
You will build your network and clientele 5x faster if you just respond with your real thoughts, feedback, etc.
I can't tell you how much I agree with this. Going through school at the same time as developing my skill sets and seeing the 'great job, good post' is just... I want to be nice and not say 'a waste of everybody's time' but. Definitely low effort. Let's talk about things!!
What happens when AI pulls you into a field you know nothing about
I started this project knowing nothing about chemistry. I finished it reading molecular structures.
VALENCE is a speculative fragrance brand, but really it was an experiment: can AI help you go deeper into a concept, not just faster to a pretty image?
Every perfume is a formula, a handful of real molecules with real shapes. So instead of inventing a "scientific look," I built the whole brand from the actual chemistry. Three scents, nine molecules, all verified in PubChem. Geosmin, the molecule behind the smell of rain on dry earth, gave the scent Petrichor its name.
The process went one way only: from real data to image, never the other way round. Molecular geometry calculated in RDKit, molecules rendered as glass sculptures with a Python path tracer built together with Claude, and those renders used as references for AI-generated campaign visuals, motion and packaging. The bottle went through many iterations before it landed on one calm form: clear glass, a chrome sphere, each scent told apart only by its colour.
What I took away: an AI workflow can connect design with fields that seem far from it, and turn that connection into a campaign.
Tools: RDKit, Python, Claude, Midjourney, Flora, Kive
starting with zero chemistry and ending up reading molecules is wild. thats the best kind of rabbit hole
Then: 1 month, 1 template.
Now: 1 week, 15 templates.
Same designer, different workflow.
I wrote up how I built no-code.supply: fifteen website templates, each with its own brand, in HTML and React, and some in Framer too. Claude Code did most of the typing. I did the directing.
no-code.supply
How I built 15 website templates with an AI coding agent in a week
How I built 15 AI-ready website templates with Claude Code in a week: the workflow, the quality bar, and why a template is only the starting point.
Going from one template a month to fifteen a week is wild. How much of the design direction did you still do by hand?