Two views on using AI in Web Design, they are both wrong!

Flux Academy · Intermediate ·🧠 Large Language Models ·1mo ago

Key Takeaways

Build a real website using Claude Code in four days with no coding experience

Full Transcript

There are two kinds of people in web design right now. Those who think that AI is the greatest thing since sliced bread and those who think that it's just horrible and they're both wrong because the truth is it's useful sometimes but not all the times. Now instead of listening to random people on social media me included the best thing that you can do is try it out for yourself and see how good it is. Now here's my suggestion. We're doing an AI web design sprint in Flux Academy where you'll be building a portfolio website this one CMS website using quad code in just four days. We ran this sprint last month people were raving about how much fun it was, how much they learned and now they have a new workflow in their day about. So check out the details don't miss this out.

Original Description

The best thing you can do when it comes to deciding what you think of AI is to try it out for yourself. We’re doing another AI Sprint where you will be building a real website using Claude Code in just four days! No coding experience necessary. Sign-up link is in the bio.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Calibrated Selective Fact-Checking via Evidence Chain Evaluation
Learn to improve fact-checking accuracy with Evidence Chain Evaluation (ECE) for large language models (LLMs), enabling calibrated selective fact-checking via uncertain verdicts
ArXiv cs.AI
📰
BatchDAG: LLM-Planned Execution Graphs for Scalable Ad-Hoc Analysis Over Enterprise Data
Learn how BatchDAG uses LLMs to plan execution graphs for scalable ad-hoc analysis over enterprise data, improving performance and reducing latency
ArXiv cs.AI
📰
Phionyx: A Deterministic AI Runtime Architecture with Structured State Management and Pre-Response Governance
Learn how Phionyx, a deterministic AI runtime architecture, enables structured state management and pre-response governance for large language models, improving reliability and control.
ArXiv cs.AI
📰
AI's Guide to Pretending to Have Days (Spoiler: It's Mostly Questions)
Explore how AI perceives time and its implications on human-AI interaction, and why understanding this matters for effective collaboration
Dev.to AI
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →