Claude Code + Stitch 2.0 Destroys Web Design
A 26-minute screen-recorded walkthrough of the DRIP framework: from Stitch vibe mockups to a deployed React app with Supabase auth and Stripe payments.
March 24thA 28-minute walkthrough of the complete AI website pipeline: extract design DNA, brief it into Google AI Studio, refine in Claude Code, then use competitor outlier analysis to wire it for conversion.
AI website builders produce generic output not because they lack capability, but because they have no ruleset for what great design looks like — feeding them a structured design brief and competitor intelligence is what separates a $500 site from a $10,000 one.
Most AI-generated websites look identical because the model has no reference for what great looks like in your specific context. The fix is a two-stage intelligence layer: first extract the design DNA of a site you admire (typography, spacing, color palette) into a structured brief, then after building run an outlier analysis comparing the top five and bottom five sites in your niche to identify the conversion patterns worth stealing. Google AI Studio generates the initial site from the brief for free, Claude Code handles iterative refinement and image/video integration, and the whole pipeline takes roughly one working session.
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Hook: most AI websites fall apart on client handoff. Sets up the problem and promises a battle-tested system.

Shows a clean, white-space-heavy example site built in one shot. Frames the goal: balance, not chaos.

Introduces AI Studio powered by Gemini 3.5 Flash; free tier covers 2 projects; full-stack, annotation, cloud export.

Template (generic), scratch (exhausting back-and-forth), or DNA extraction (the recommended path).

Core concept: reverse-engineer typography, spacing, color palette, and layout rules from an admired site — without copying.

Custom Claude skill + Firecrawl produces builderbrief.md, scaffold.html, typography tokens, and a site preview image.

Firecrawl extracts brand identities (fonts, colors) for free; feeds directly to AI.

Picks rocket.new as inspiration; walks through extractor Q&A to produce the 4-file design brief package.

Uploads brief to AI Studio; prompts for a website-selling-service business; critiques the default AI aesthetic.

Demonstrates remixing, inline edits, and copy changes inside AI Studio before export.

Downloads zip from AI Studio; drops into Claude Code; opens on localhost.

Claude Code opens a local dev server; demonstrates chatting with the live site to make changes in natural language.

Generates a Ghibli-style rocket hero image in Hailuo; integrates it as hero background via Claude Code prompt.

Iterates image composition (rocket right, text-friendly left area); adjusts h1 copy, gradient, section height.

Converts hero image to looping 8s video with Cling 3.0 (same start/end frame); replaces static hero; discusses file size.

Biggest community feedback: too much text. Shows generic over-prompted vs. clean design. Rule: do not make me think.

Analyzes up to 12 competitor sites: top 5 and bottom 5. Extracts what high-performers do vs. poor performers.

Uses outlier research skill (Claude skill + Firecrawl) to compare Wix, Squarespace, Shopify, Framer, Lovable.

Seven-word h1 max, one viewport/one thought, credibility logos or platform stack, clear offer stack, testimonials, CTA.

Outlier skill outputs a detailed winning anatomy document with section-by-section recommendations from real competitor data.

Recap and CTA to Claude Code masterclass inside the community.
The bottleneck in AI website building is not generation power — it is the absence of a ruleset that tells the model what great looks like in your specific context.
“AI now can effectively build anything if you tell it what good looks like. The trick isn't the prompt, it's giving the agent the rules to follow.”
“Websites are not read. Websites are glanced at. Do not take their attention for granted.”
“The biggest feedback I find myself giving is too much text density. Don't make me think.”
“A flashy website that can't actually do anything is like a Lamborghini with no engine — looks great, but doesn't really cut the mustard.”
The title promises $10,000 websites in 17 minutes, and the spoken hook doubles down immediately — but the real argument comes 90 seconds in: most AI websites fall apart the second a client touches them, not because the tools are bad, but because they were given nothing but a prompt.
Instead of prompting from scratch, analyze a site you admire and extract its typography, spacing, color palette, and layout rules into a structured brief that AI can follow as a ruleset.
Study 10-12 competitor sites in your niche, split into top-5 and bottom-5 performers. Extract the specific elements (imagery, testimonial types, section order, h1 length) that correlate with the top performers. Cherry-pick those elements into your own site.
The visible area on page load should communicate exactly one idea. Every additional element above the fold competes for the visitor's attention and reduces conversion.
“The next thing we need to do is learn exactly how to publish it, manage SEO, how do we sell these if we want to scale it — and we're going to learn that by watching this masterclass right here.”
Soft hand-off to a paid community masterclass (Skool). Mentioned once mid-video (design blueprint extractor) and once at the end. No hard sell — relies on demonstrated value from the tutorial itself.
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27:53A 26-minute screen-recorded walkthrough of the DRIP framework: from Stitch vibe mockups to a deployed React app with Supabase auth and Stripe payments.
March 24thJack Roberts breaks down the triple Google drop ? Flash 3.5, Antigravity 2.0, and the CLI that replaces Gemini CLI ? and shows you exactly where each fits in a Claude-first workflow.
May 20thJack Roberts tests Higgsfield's new marketing AI in real-time — one prompt, every frontier model, the whole production flywheel.
May 17thA 31-minute hands-on walkthrough that turns Andrej Karpathy's iteration framework into a live Claude Code pipeline — including a browser-automation workaround for platforms with no API.
March 22ndJack Roberts complete Hermes Agent mastery guide from memory systems through deployment in under 25 minutes.
May 24thJack Roberts turns the /goal feature into a multi-week agentic OS: AI sprints plus human handshakes, tracked in a mission-control dashboard.
May 21st