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Hi! I'm Awais. I'm building AI receptionists for dentists and med spas. This past week, I've connected with over 50 businesses to learn about their workflows and how AI can save them time and reduce missed opportunities.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Your next buyer will research you in ChatGPT before they ever open your homepage.
They type the problem, read the paragraph a model writes back, and shortlist the two companies it described most clearly.
You don't write that paragraph. The model does, by reading every surface you own at once and keeping whatever it trusts most.
If your homepage, your LinkedIn, and your Crunchbase don't tell the same story, it picks one. Sometimes the wrong one. Always with total confidence.
Brand consistency just stopped being a design preference and became whether a machine can describe you at all.
New BRIGHT Method is on this
Inspiring!
SARYCH-LM Neural Observatory
SARYCH-LM Neural Observatory is a dark, cinematic research cockpit for my personal from-scratch 29.77M parameter language model project.
The goal was to make the project feel alive: not as a chatbot, but as a visual interface for exploring model facts, transformer architecture, training history, and a simulated Neural Playground terminal.
How I used Google Stitch:
- Connected Stitch through OpenCode using Stitch MCP
- Generated many visual concepts and screen variants
- Selected a dark neural observatory direction
- Ran factual correction passes to keep model details honest
- Exported the selected Stitch concept as HTML
- Rebuilt and polished the final site in Vite + React + TypeScript + Tailwind
- Deployed the final static site on GitHub Pages
The Neural Playground is UI simulation only — not live backend inference. SARYCH-LM is a personal research project: v0.3 is complete, while v0.4 instruction-tuning and synthetic-data infrastructure is still in progress.
Feedback on Stitch:
Stitch made rapid visual exploration genuinely fast and useful. The MCP workflow through OpenCode made prompt-driven iteration feel natural and close to my development process. Larger structural edits still benefited from manual frontend polish after export, but Stitch was excellent for finding the visual direction quickly.
Live site:
https://apartman36.github.io/sarych-lm-site/
X walkthrough post:
https://x.com/apartmanchik/status/2061514383713305020
Stitch project:
https://stitch.withgoogle.com/projects/7641294863595848179
Model repo:
https://github.com/Apartman36/sarych-lm
Website repo:
https://github.com/Apartman36/sarych-lm-site
Built with Google Stitch + OpenCode MCP.
AI is not replacing good developers. It is exposing the average ones.
AI tools can now write code, generate designs, build landing pages, and connect APIs faster than ever.
But speed alone does not make a product good.
The real value is still in knowing what to build, how to structure it, what can break, how users will behave, and how to turn a rough idea into something reliable.
A good developer does not just ask AI to generate code.
They guide the system, review the output, clean the architecture, test edge cases, and connect the work to real business goals.
That is where experience still matters.
AI is a powerful assistant. But product thinking, engineering judgment, and clear communication are still the difference between “it works” and “it is ready.”
#AI #SoftwareDevelopment #FullStackDevelopment #Automation #ProductDevelopment #Contra
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