All five apps built by the same AI agent. No templates or developers. No frontend work. It was just smart prompting and Lovable's autonomous brain doing what used to take entire teams months to build.
AGENTS
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Building a Class Discovery Platform Using AI Prompting
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5/ Class Discovery Platform
— God of Prompt (@godofprompt) 23 juillet 2025
Prompt: "Build me Airbnb Experiences meets Skillshare."
In 18 minutes, it delivered:
• Teacher verification
• Advanced class filters
• Post-session group chats
• Auto group discounts
• Course bundles w/booking
Deployed before my coffee cooled. pic.twitter.com/UfG6ND5Enj5/ Class Discovery Platform Prompt: "Build me Airbnb Experiences meets Skillshare." In 18 minutes, it delivered:
• Teacher verification
• Advanced class filters
• Post-session group chats
• Auto group discounts
• Course bundles w/booking Deployed before my coffee cooled. -
Using AI Agents for Sustainable Mapping and Impact Tracking
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3) Sustainability Discovery Map
— God of Prompt (@godofprompt) 23 juillet 2025
I said, "Show me zero-waste stores nearby."
What I got: filterable local maps, carbon footprint calculator, photo-verified listings, eco-badges, and an impact tracker.
Like Google Maps if it cared about saving the planet. pic.twitter.com/IMDk8GtcKs3) Sustainability Discovery Map I said, "Show me zero-waste stores nearby." What I got: filterable local maps, carbon footprint calculator, photo-verified listings, eco-badges, and an impact tracker. Like Google Maps if it cared about saving the planet.
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Subconscious Threads Enable Long-Horizon Reasoning Beyond Context
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Beyond Context Limits Subconscious Threads for Long-Horizon Reasoning
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Auditable Plans for Agent Transparency and Accountability
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These steps should be part of a visible, auditable plan, an “auditable artifact”, as Karpathy says, that helps users and builders understand exactly how the agent tackled the work. 6/6
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Rethinking AI System Architecture for User Requirements
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It’s time to rethink how we architect AI systems. They should guarantee fulfillment of explicit user requirements, know how to break down work into the right steps, use the optimal tools to execute each step, and validate the output of each step. 5/6
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Karpathy warns against excessive enthusiasm for autonomous AI agents
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Andrej Karpathy recently warned we're getting "way too excited" about autonomous AI agents. “If I’m just vibe coding AI is great, but if I’m trying to really get work done, it’s not so great to have overreactive agents.” 2/6
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New Pelican Riding Bicycle Agent Benchmark Released
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New 'Pelican Riding a Bicycle' agent benchmark just dropped @simonw
— Peter Gostev (@petergostev) 23 juillet 2025
video @ 2x speed pic.twitter.com/5qnuMVbMMRNew 'Pelican Riding a Bicycle' agent benchmark just dropped @simonw video @ 2x speed
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Agentic AI Predicts Biological Aging and Health Outcomes
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Agentic A.I. to predict body-wide and organ specific biological aging with associated health outcomes
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2025: The Year of AI Agents Hype Reality Check
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Good morning everyone! In this iteration we discuss the word in every slide deck, keynote, LinkedIn post and podcast this year highlight the same thing: agents. 2025 is the year of AI agents, so it seems… This feels like the usual AI hype that leads nowhere, but I wanted to