YARD's banner
YARD's profile picture

YARD

@notEgoyard • 12,165 subscribers

AI Advisor | Master Yardio

Shorts

INVESTOR DECKS ARE OFFICIALLY A ONE-PROMPT PROBLEM NOW goes from scattered brand notes and market research straight to an investor ready deck - eliminating manual slide layout, manual chart building, and manual re formatting between tools Here is the exact stack: Claude Design Canvas - reads a brand concept doc and a research outline, builds each slide type with real visual reasoning, not text dropped into a template Live Research Layer - for skills that support it, runs an actual web search per prompt, structures a narrative arc from current data instead of guessing at market size Design-System Ingestion - feed it a clean codebase or existing brand files, Claude infers your grid, type scale, and color system automatically instead of starting from a blank canvas Multi format Export - PPTX, PDF, HTML, or straight into Google Slides, so the deck opens correctly wherever the investor actually opens it Core advantage: set up a Project once with your colors, fonts, and style guide - every deck generated after that follows your brand automatically, no re-uploading brand assets slide by slide honest limit worth knowing: HTML to PPTX export is lossy text can flatten to images, fonts substitute, master slides drop If the deck's final home is PowerPoint, budget one manual pass to catch what didn't survive the conversion Pass a brand doc and a research outline Claude structures the narrative arc, builds every slide, and exports to whatever format the round actually needs zero blank canvas, zero manual chart rebuilding full below

INVESTOR DECKS ARE OFFICIALLY A ONE-PROMPT PROBLEM NOW goes from scattered brand notes and market research straight to an investor ready deck - eliminating manual slide layout, manual chart building, and manual re formatting between tools Here is the exact stack: Claude Design Canvas - reads a brand concept doc and a research outline, builds each slide type with real visual reasoning, not text dropped into a template Live Research Layer - for skills that support it, runs an actual web search per prompt, structures a narrative arc from current data instead of guessing at market size Design-System Ingestion - feed it a clean codebase or existing brand files, Claude infers your grid, type scale, and color system automatically instead of starting from a blank canvas Multi format Export - PPTX, PDF, HTML, or straight into Google Slides, so the deck opens correctly wherever the investor actually opens it Core advantage: set up a Project once with your colors, fonts, and style guide - every deck generated after that follows your brand automatically, no re-uploading brand assets slide by slide honest limit worth knowing: HTML to PPTX export is lossy text can flatten to images, fonts substitute, master slides drop If the deck's final home is PowerPoint, budget one manual pass to catch what didn't survive the conversion Pass a brand doc and a research outline Claude structures the narrative arc, builds every slide, and exports to whatever format the round actually needs zero blank canvas, zero manual chart rebuilding full below

32,780 görüntüleme

CLAUDE CODE SKILL THAT DESIGNS LOGOS AS PURE CODE The constraint that forced the whole approach: Claude Code has no access to image generation So instead of faking it, one developer built a skill that writes the logo as SVG - actual XML - and renders that to a PNG The process runs in four phases: interview [ reads your repo first, asks about brand and audience only for what it can’t already see ] explore [ dispatches parallel agents that generate 3-5 distinct SVG concepts at once, shown side by side in an HTML preview with a light/dark toggle ] refine, export at 7 standard sizes from favicon to 2048px Because it’s real SVG and not a rasterized image, nothing about it degrades - same file works as a 16px favicon and a 2048px app icon, and every version is hand editable code afterward if you want to nudge one curve The creator’s own account of using it: roughly 15 rounds of generate, curate, cull, repeat - some concepts literally spelled out the product name, others went fully abstract, treating the whole thing like an evolutionary design process instead of a single lucky prompt The part worth remembering before you reach for a paid AI logo tool: this whole approach exists specifically because Claude Code can’t generate images - the constraint produced a better artifact than the workaround usually does full below

CLAUDE CODE SKILL THAT DESIGNS LOGOS AS PURE CODE The constraint that forced the whole approach: Claude Code has no access to image generation So instead of faking it, one developer built a skill that writes the logo as SVG - actual XML - and renders that to a PNG The process runs in four phases: interview [ reads your repo first, asks about brand and audience only for what it can’t already see ] explore [ dispatches parallel agents that generate 3-5 distinct SVG concepts at once, shown side by side in an HTML preview with a light/dark toggle ] refine, export at 7 standard sizes from favicon to 2048px Because it’s real SVG and not a rasterized image, nothing about it degrades - same file works as a 16px favicon and a 2048px app icon, and every version is hand editable code afterward if you want to nudge one curve The creator’s own account of using it: roughly 15 rounds of generate, curate, cull, repeat - some concepts literally spelled out the product name, others went fully abstract, treating the whole thing like an evolutionary design process instead of a single lucky prompt The part worth remembering before you reach for a paid AI logo tool: this whole approach exists specifically because Claude Code can’t generate images - the constraint produced a better artifact than the workaround usually does full below

10,875 görüntüleme

Videos

Daha fazla içerik yok.