Justin
@JustinWKong
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Building AI products | https://t.co/1VsNkGF7m3 | https://t.co/sKJzsbZRsx
Joined March 2014
Built and released a new feature today: when the AI encounters an error, it can now detect and recover automatically. Simple idea, but it makes conversations a lot more resilient.
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The best AI products don’t feel like AI at all. They disappear into workflows so naturally that users forget there’s intelligence behind the screen, that’s when you know you’ve built something real.
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Most AI founders don’t fail because of tech, they fail because they build tools, not outcomes. The winners focus on solving one painful, repeatable problem that users can’t live without.
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We’re entering the “agentic infrastructure” era, where context, reasoning, and decision-making merge. If your AI agent doesn’t understand why it’s doing something, it’s not intelligent, it’s just automated.
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Most people think AI innovation is about building new tools. It’s not. It’s about making existing workflows 10x faster, cheaper, and more intuitive.
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Today’s work - Show random helpful tips to users in the chat window - When a tip is clicked, open a modal where the user can view the full tip - Add a button so users can still view the tips even after closing the modal
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SaaS founders, agencies, and hosts can now offer AI-powered WordPress sites under their own brand, 10Web’s API makes it plug-and-play.
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AI web creation is shifting from tools to infrastructure, 10Web’s vibe-coding builder is the missing layer for platforms that want to ship full AI sites, not just templates.
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LLMs don’t just need prompts, they need environments, and this one looks like a game-changer.
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The next generation of chat UX isn’t text boxes, it’s canvases that think with you.
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RAG was about finding the right data. Agentic RAG is about using it, verifying, refining, and looping until the answer’s bulletproof.
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The biggest AI unlock of 2025 won’t be bigger models, it’ll be smarter orchestration. Agentic systems that know when to search, when to reason, and when to stop.
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If users could tell your product exactly what they want in one sentence, and get it instantly, how would that change your UX strategy?
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AI is finally moving from conversation to completion. Features like AI Autocomplete aren’t just about speed, they’re about reducing friction, helping users get what they want in one step instead of ten.
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Just 2 days after moving from claude code MAX to codex, I already hit my usage limit. Here’s what I’ve noticed compared to CC: - Feels smarter (at least to me) - Handles complex problems really well - Sometimes seems lazy, doesn’t finish tasks completely (what?) - More
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The best products are the ones that keep making money while you sleep because they’re built on simplicity and leverage.
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You don’t need a massive team or budget to grow, just a system that scales quietly in the background.
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Has anyone here built a referral system before? I’m building one now, and stopping abuse is harder than I thought. So far I’ve handled: - users deleting and signing up again - fake or junk emails - people getting rewards then refunding - the same email used again for rewards
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You don’t need permission to start, just curiosity, consistency, and the courage to ship.
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We’re living in the builder’s golden age, tools are free, knowledge is public, and speed is the new advantage.
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