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Asteri

@Asteri_eth • 3,439 subscribers

AI writer | Prediction markets researcher | the best vibe and fine content creator, as well as shitposts 🌌

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this is the whole f*cking motion studio in 20 repos 20 open-source stacks for Opus 5.5, one job each engines. vector. 3D. sound. delivery 01 Remotion → video engine 02 HyperFrames → html renderer 03 GSAP → timeline control 04 Motion Canvas → explainer engine 05 Theatre.js → keyframe editor 06 Motion → ui motion 07 Lottie → vector player 08 Rive → state machines 09 Manim → math explainers 10 Figma Context MCP → design import 11 three.js → 3d scene 12 React Three Fiber → react 3d 13 Blender MCP → blender desk 14 postprocessing → film look 15 ShaderGradient → gradient lab 16 Cap → screen capture 17 Kokoro → voiceover 18 whisper.cpp → auto captions 19 OpenCut → final cut 20 FFmpeg → export desk Opus writes the scenes and the code. these repos are the camera, the lights and the edit bay. the loop: brief → storyboard → animate → render → ship bookmark this, then spin up your own launch video studio ↓

this is the whole f*cking motion studio in 20 repos 20 open-source stacks for Opus 5.5, one job each engines. vector. 3D. sound. delivery 01 Remotion → video engine 02 HyperFrames → html renderer 03 GSAP → timeline control 04 Motion Canvas → explainer engine 05 Theatre.js → keyframe editor 06 Motion → ui motion 07 Lottie → vector player 08 Rive → state machines 09 Manim → math explainers 10 Figma Context MCP → design import 11 three.js → 3d scene 12 React Three Fiber → react 3d 13 Blender MCP → blender desk 14 postprocessing → film look 15 ShaderGradient → gradient lab 16 Cap → screen capture 17 Kokoro → voiceover 18 whisper.cpp → auto captions 19 OpenCut → final cut 20 FFmpeg → export desk Opus writes the scenes and the code. these repos are the camera, the lights and the edit bay. the loop: brief → storyboard → animate → render → ship bookmark this, then spin up your own launch video studio ↓

49,103 views

someone packed 637 motion design techniques into a skill Claude Code can actually read if you make launch videos alone, steal this it's an open source field guide + agent skill for Claude Code and Codex what's inside: → mask reveals that bring your product onto the screen → kinetic type for headlines that need to hit → cursor moves and clicks that walk people through your UI → count-ups and chart races for your metrics → dashed flows and path diagrams for agent systems → parallax, camera moves and 3D card flips for depth → 11 recipes that stitch it all into demos and launch videos the part that matters: every effect has its own card with timing, easing, parameter ranges, good and bad examples and ready prompts so your agent builds from real numbers, not vibes 128 of them already ship as reference clips you can re-render with your own text the loop: describe the scene → pick the technique → swap in your content → render → check the frames try it on your next launch: one screenshot → one click → a 10-second demo bookmark this, repo below ↓

someone packed 637 motion design techniques into a skill Claude Code can actually read if you make launch videos alone, steal this it's an open source field guide + agent skill for Claude Code and Codex what's inside: → mask reveals that bring your product onto the screen → kinetic type for headlines that need to hit → cursor moves and clicks that walk people through your UI → count-ups and chart races for your metrics → dashed flows and path diagrams for agent systems → parallax, camera moves and 3D card flips for depth → 11 recipes that stitch it all into demos and launch videos the part that matters: every effect has its own card with timing, easing, parameter ranges, good and bad examples and ready prompts so your agent builds from real numbers, not vibes 128 of them already ship as reference clips you can re-render with your own text the loop: describe the scene → pick the technique → swap in your content → render → check the frames try it on your next launch: one screenshot → one click → a 10-second demo bookmark this, repo below ↓

43,570 views

Opus 5.5 is f*cking insane at UI design 20 tools to build your own UI design studio with Opus 5.5 landing pages. dashboards. app screens. full design systems. collect the references, set the tokens, build the components, check every state, ship. 01 shadcn/ui ▸ copy components into your repo and own the code 02 Frontend Design skill ▸ push your agent past templated default layouts 03 Tailwind CSS ▸ style everything with utility classes the agent can read 04 Radix Primitives ▸ get accessible dialogs, menus and popovers out of the box 05 Motion ▸ add hover, press and layout micro-interactions 06 Magic UI ▸ drop in animated landing page components 07 Lucide ▸ keep every icon in one consistent style 08 Figma MCP ▸ hand your agent the real frame, variables and components 09 Mobbin ▸ study real app screens before you design (free tier) 10 Laws of UX ▸ ground layout decisions in proven principles 11 Google Fonts ▸ choose typefaces for headlines and readable body text 12 Fontshare ▸ get free display fonts that don't look like everyone else's 13 Realtime Colors ▸ preview your palette on a real page before committing 14 WebAIM Contrast Checker ▸ make sure your text actually passes contrast 15 Storybook ▸ build and review every component state in isolation 16 Playwright ▸ let the agent screenshot its own UI and fix what it sees 17 Chrome DevTools MCP ▸ let the agent inspect the live page, console and performance 18 Unsplash ▸ find free photos for heroes and mockups 19 Squoosh ▸ compress images before they slow the page down 20 Vercel ▸ ship a preview link for every change the loop: write the brief → collect references → set the tokens → build the components → design every state → screenshot and fix → ship start with one screen. make every element earn its place. save this, then read the full guide for Opus 5.5 UI Engineering ↓

Opus 5.5 is f*cking insane at UI design 20 tools to build your own UI design studio with Opus 5.5 landing pages. dashboards. app screens. full design systems. collect the references, set the tokens, build the components, check every state, ship. 01 shadcn/ui ▸ copy components into your repo and own the code 02 Frontend Design skill ▸ push your agent past templated default layouts 03 Tailwind CSS ▸ style everything with utility classes the agent can read 04 Radix Primitives ▸ get accessible dialogs, menus and popovers out of the box 05 Motion ▸ add hover, press and layout micro-interactions 06 Magic UI ▸ drop in animated landing page components 07 Lucide ▸ keep every icon in one consistent style 08 Figma MCP ▸ hand your agent the real frame, variables and components 09 Mobbin ▸ study real app screens before you design (free tier) 10 Laws of UX ▸ ground layout decisions in proven principles 11 Google Fonts ▸ choose typefaces for headlines and readable body text 12 Fontshare ▸ get free display fonts that don't look like everyone else's 13 Realtime Colors ▸ preview your palette on a real page before committing 14 WebAIM Contrast Checker ▸ make sure your text actually passes contrast 15 Storybook ▸ build and review every component state in isolation 16 Playwright ▸ let the agent screenshot its own UI and fix what it sees 17 Chrome DevTools MCP ▸ let the agent inspect the live page, console and performance 18 Unsplash ▸ find free photos for heroes and mockups 19 Squoosh ▸ compress images before they slow the page down 20 Vercel ▸ ship a preview link for every change the loop: write the brief → collect references → set the tokens → build the components → design every state → screenshot and fix → ship start with one screen. make every element earn its place. save this, then read the full guide for Opus 5.5 UI Engineering ↓

11,443 views

PEOPLE ARE BURNING THROUGH THEIR TOKENS IN 30 MINUTES AND BLAMING CLAUDE The problem isn’t with the model. The problem is how they’re using it A simple formatting question they set Max effort The 40th message in the chat the model re-reads the entire history from the beginning Every single time. Using your tokens Low effort costs 10 times less than Max Just get into the habit of routing tasks by level and your limit won’t run out by noon Tokens don’t disappear. You’re just paying for unnecessary processing

PEOPLE ARE BURNING THROUGH THEIR TOKENS IN 30 MINUTES AND BLAMING CLAUDE The problem isn’t with the model. The problem is how they’re using it A simple formatting question they set Max effort The 40th message in the chat the model re-reads the entire history from the beginning Every single time. Using your tokens Low effort costs 10 times less than Max Just get into the habit of routing tasks by level and your limit won’t run out by noon Tokens don’t disappear. You’re just paying for unnecessary processing

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every Claude Code cheat sheet recycles the same 10 commands. these 15 never make the list Claude Code ships 100+ built-in commands and most of them are about one thing: less babysitting cleaner context → fewer interruptions → reviews that run without you steal the cheat sheet ↓ 01 /btw → ask a side question without polluting the conversation 02 /fork → copy the current chat into a new background session 03 /background → detach the session and free your terminal 04 /advisor → let a second model weigh in at key moments 05 /effort → dial thinking from low up to max, or leave it on auto 06 /context → see what's eating your context window as a colored grid 07 /skill-doctor → see what each skill costs in context and how often it fires 08 /verify → build and run the project to prove the change actually works 09 /code-review → review a diff, PR or branch, add --fix to apply 10 /ultrareview → deep multi-agent review in a cloud sandbox 11 /autofix-pr → a cloud session watches your PR and pushes fixes 12 /fewer-permission-prompts → scans your transcripts and builds an allowlist 13 /insights → HTML report on how your recent sessions went 14 /import → pull your config over from Codex, Gemini CLI or Cursor 15 /teleport → bring a cloud session back into your terminal start here: /context → /verify → /ultrareview save this, then read the full Claude Code Mods guide ↓
0:55
Asteri_eth's profile picture

every Claude Code cheat sheet recycles the same 10 commands. these 15 never make the list Claude Code ships 100+ built-in commands and most of them are about one thing: less babysitting cleaner context → fewer interruptions → reviews that run without you steal the cheat sheet ↓ 01 /btw → ask a side question without polluting the conversation 02 /fork → copy the current chat into a new background session 03 /background → detach the session and free your terminal 04 /advisor → let a second model weigh in at key moments 05 /effort → dial thinking from low up to max, or leave it on auto 06 /context → see what's eating your context window as a colored grid 07 /skill-doctor → see what each skill costs in context and how often it fires 08 /verify → build and run the project to prove the change actually works 09 /code-review → review a diff, PR or branch, add --fix to apply 10 /ultrareview → deep multi-agent review in a cloud sandbox 11 /autofix-pr → a cloud session watches your PR and pushes fixes 12 /fewer-permission-prompts → scans your transcripts and builds an allowlist 13 /insights → HTML report on how your recent sessions went 14 /import → pull your config over from Codex, Gemini CLI or Cursor 15 /teleport → bring a cloud session back into your terminal start here: /context → /verify → /ultrareview save this, then read the full Claude Code Mods guide ↓

Asteri

11,464 views • 1 day ago

Karpathy found a way to reduce token consumption by 90% The problem is that the LLM re-reads the same files over and over again, loses context between documents, and provides less accurate answers as a result The solution is called Wiki Layer the LLM cleans, structures, and links all your data once, after which it never works with raw files again Three folders `raw/` for originals, `wiki/` for a clean knowledge base in Markdown, and files with rules for the agent Result up to 90% token savings on repeat queries, automatic links between documents, and a visual knowledge graph in Obsidian Everything stays on your local machine nothing goes to the cloud
0:32
Asteri_eth's profile picture

Karpathy found a way to reduce token consumption by 90% The problem is that the LLM re-reads the same files over and over again, loses context between documents, and provides less accurate answers as a result The solution is called Wiki Layer the LLM cleans, structures, and links all your data once, after which it never works with raw files again Three folders `raw/` for originals, `wiki/` for a clean knowledge base in Markdown, and files with rules for the agent Result up to 90% token savings on repeat queries, automatic links between documents, and a visual knowledge graph in Obsidian Everything stays on your local machine nothing goes to the cloud

Asteri

1,100,571 views • 5 months ago

this is the whole f*cking motion studio in 20 repos 20 open-source stacks for Opus 5.5, one job each engines. vector. 3D. sound. delivery 01 Remotion → video engine 02 HyperFrames → html renderer 03 GSAP → timeline control 04 Motion Canvas → explainer engine 05 Theatre.js → keyframe editor 06 Motion → ui motion 07 Lottie → vector player 08 Rive → state machines 09 Manim → math explainers 10 Figma Context MCP → design import 11 three.js → 3d scene 12 React Three Fiber → react 3d 13 Blender MCP → blender desk 14 postprocessing → film look 15 ShaderGradient → gradient lab 16 Cap → screen capture 17 Kokoro → voiceover 18 whisper.cpp → auto captions 19 OpenCut → final cut 20 FFmpeg → export desk Opus writes the scenes and the code. these repos are the camera, the lights and the edit bay. the loop: brief → storyboard → animate → render → ship bookmark this, then spin up your own launch video studio ↓
0:20
Asteri_eth's profile picture

this is the whole f*cking motion studio in 20 repos 20 open-source stacks for Opus 5.5, one job each engines. vector. 3D. sound. delivery 01 Remotion → video engine 02 HyperFrames → html renderer 03 GSAP → timeline control 04 Motion Canvas → explainer engine 05 Theatre.js → keyframe editor 06 Motion → ui motion 07 Lottie → vector player 08 Rive → state machines 09 Manim → math explainers 10 Figma Context MCP → design import 11 three.js → 3d scene 12 React Three Fiber → react 3d 13 Blender MCP → blender desk 14 postprocessing → film look 15 ShaderGradient → gradient lab 16 Cap → screen capture 17 Kokoro → voiceover 18 whisper.cpp → auto captions 19 OpenCut → final cut 20 FFmpeg → export desk Opus writes the scenes and the code. these repos are the camera, the lights and the edit bay. the loop: brief → storyboard → animate → render → ship bookmark this, then spin up your own launch video studio ↓

Asteri

49,103 views • 16 days ago

someone packed 637 motion design techniques into a skill Claude Code can actually read if you make launch videos alone, steal this it's an open source field guide + agent skill for Claude Code and Codex what's inside: → mask reveals that bring your product onto the screen → kinetic type for headlines that need to hit → cursor moves and clicks that walk people through your UI → count-ups and chart races for your metrics → dashed flows and path diagrams for agent systems → parallax, camera moves and 3D card flips for depth → 11 recipes that stitch it all into demos and launch videos the part that matters: every effect has its own card with timing, easing, parameter ranges, good and bad examples and ready prompts so your agent builds from real numbers, not vibes 128 of them already ship as reference clips you can re-render with your own text the loop: describe the scene → pick the technique → swap in your content → render → check the frames try it on your next launch: one screenshot → one click → a 10-second demo bookmark this, repo below ↓
0:20
Asteri_eth's profile picture

someone packed 637 motion design techniques into a skill Claude Code can actually read if you make launch videos alone, steal this it's an open source field guide + agent skill for Claude Code and Codex what's inside: → mask reveals that bring your product onto the screen → kinetic type for headlines that need to hit → cursor moves and clicks that walk people through your UI → count-ups and chart races for your metrics → dashed flows and path diagrams for agent systems → parallax, camera moves and 3D card flips for depth → 11 recipes that stitch it all into demos and launch videos the part that matters: every effect has its own card with timing, easing, parameter ranges, good and bad examples and ready prompts so your agent builds from real numbers, not vibes 128 of them already ship as reference clips you can re-render with your own text the loop: describe the scene → pick the technique → swap in your content → render → check the frames try it on your next launch: one screenshot → one click → a 10-second demo bookmark this, repo below ↓

Asteri

43,570 views • 25 days ago

NVIDIA will refund your cloud bill if you let them put a $250,000 supercomputer on your desk for $2,999 The $2,999 DGX Spark puts a 128GB AI supercomputer on your desk the same 70B models you rented in the cloud, but nothing goes over the network and no ToS governs the machine you own $22,000 in annual savings is the big number everyone posts The quiet number is even bigger it’s the contracts you’ve stopped losing due to data residency Owning your own compute is no longer just budget optimization it’s a way to sell to customers who can’t send their data to the cloud
0:58
Asteri_eth's profile picture

NVIDIA will refund your cloud bill if you let them put a $250,000 supercomputer on your desk for $2,999 The $2,999 DGX Spark puts a 128GB AI supercomputer on your desk the same 70B models you rented in the cloud, but nothing goes over the network and no ToS governs the machine you own $22,000 in annual savings is the big number everyone posts The quiet number is even bigger it’s the contracts you’ve stopped losing due to data residency Owning your own compute is no longer just budget optimization it’s a way to sell to customers who can’t send their data to the cloud

Asteri

143,538 views • 5 months ago

Polymarket's #9 trader currently owns 10 million YES shares and 10 million NO shares in the exact same market both sides were bought at 49.99c one must resolve at $1, turning $9.998M into $10M regardless of the outcome. roughly $2,000 locked in from a pricing gap of just 0.02c that position explains how this account operates find tiny inefficiencies, remove the directional risk and scale them until fractions of a cent matter the same account has generated $909M in volume and $8.81M in profit, with realized gains of $1.44M on a Belgium-Senegal draw, $1.01M on Canada and $863K on the Knicks at this size, Polymarket stops looking like a prediction game it becomes an execution business
0:33
Asteri_eth's profile picture

Polymarket's #9 trader currently owns 10 million YES shares and 10 million NO shares in the exact same market both sides were bought at 49.99c one must resolve at $1, turning $9.998M into $10M regardless of the outcome. roughly $2,000 locked in from a pricing gap of just 0.02c that position explains how this account operates find tiny inefficiencies, remove the directional risk and scale them until fractions of a cent matter the same account has generated $909M in volume and $8.81M in profit, with realized gains of $1.44M on a Belgium-Senegal draw, $1.01M on Canada and $863K on the Knicks at this size, Polymarket stops looking like a prediction game it becomes an execution business

Asteri

69,585 views • 2 months ago

this is straight up f*cking gold 20 open-source GitHub repos stacked into one motion design empire. 5 floors, ~26K stars combined, all of them plug into Claude Code: floor 01 · taste: > LottieFiles/motion-design-skill: timing, easing, choreography before a single line of animation code > iart-ai/motion-design-skills: timing, type, color, composition, logos, backgrounds > frankxai/awesome-motion-design-agent-skills: curated GSAP, Motion, Remotion, Lottie, Rive + 5 installable skills > dylantarre/animation-principles: Disney's 12 principles split into 144 skills floor 02 · web motion: > whaleyxbt/claude-motion: taste, checks its own frames, ships with a sound engine > freshtechbro/claudedesignskills: Three.js, GSAP, R3F, Babylon as Claude Code plugins > 199-biotechnologies/motion-dev-animations-skill: springs, scroll effects, 120fps from plain English > greensock/gsap-skills: official GSAP skills, 14K+ stars floor 03 · video in code: > remotion-dev/skills: Remotion's own agent skills, one npx install > haidrrrry/claude-remotion-skill: easing, grading, captions, then it checks the render itself > Liamrjohnston/remotion-motion-graphics-skill: kinetic text, camera moves, terminal demos > wilwaldon/Claude-Code-Video-Toolkit: Remotion, Manim, screen capture, FFmpeg in one map floor 04 · reels & launch: > iart-ai/motion-skills: 55 skills in 18 packs, kinetic type to WebGL > kaventro/motion-designer: rebuilds your real app UI in HTML and cuts it to the music > Sunwood-ai-labs/hyperframes-motion-reel-skill: one-line theme into a beat-synced reel, 120 BPM, 60 FPS > charlie947/motion-graphics-skills: 15 launch-grade skills, every frame is code floor 05 · opus 5.5 pipeline: > howseen-ai/claude-motion-design: pure code video, HTML + Playwright + ffmpeg > tuzhechen2005/opus-video-skills: one skill per style, hand-painted watercolor or kinetic type > siyuanfeng636-cpu/agentic-motion-graphics: voiceover runs the clock, Whisper timestamps drive every cut > Lob0Garou/opus-visual-motion-engine: deterministic seek(t), automated render QA, frame-exact MP4 start on floor 01. don't skip floors
0:21
Asteri_eth's profile picture

this is straight up f*cking gold 20 open-source GitHub repos stacked into one motion design empire. 5 floors, ~26K stars combined, all of them plug into Claude Code: floor 01 · taste: > LottieFiles/motion-design-skill: timing, easing, choreography before a single line of animation code > iart-ai/motion-design-skills: timing, type, color, composition, logos, backgrounds > frankxai/awesome-motion-design-agent-skills: curated GSAP, Motion, Remotion, Lottie, Rive + 5 installable skills > dylantarre/animation-principles: Disney's 12 principles split into 144 skills floor 02 · web motion: > whaleyxbt/claude-motion: taste, checks its own frames, ships with a sound engine > freshtechbro/claudedesignskills: Three.js, GSAP, R3F, Babylon as Claude Code plugins > 199-biotechnologies/motion-dev-animations-skill: springs, scroll effects, 120fps from plain English > greensock/gsap-skills: official GSAP skills, 14K+ stars floor 03 · video in code: > remotion-dev/skills: Remotion's own agent skills, one npx install > haidrrrry/claude-remotion-skill: easing, grading, captions, then it checks the render itself > Liamrjohnston/remotion-motion-graphics-skill: kinetic text, camera moves, terminal demos > wilwaldon/Claude-Code-Video-Toolkit: Remotion, Manim, screen capture, FFmpeg in one map floor 04 · reels & launch: > iart-ai/motion-skills: 55 skills in 18 packs, kinetic type to WebGL > kaventro/motion-designer: rebuilds your real app UI in HTML and cuts it to the music > Sunwood-ai-labs/hyperframes-motion-reel-skill: one-line theme into a beat-synced reel, 120 BPM, 60 FPS > charlie947/motion-graphics-skills: 15 launch-grade skills, every frame is code floor 05 · opus 5.5 pipeline: > howseen-ai/claude-motion-design: pure code video, HTML + Playwright + ffmpeg > tuzhechen2005/opus-video-skills: one skill per style, hand-painted watercolor or kinetic type > siyuanfeng636-cpu/agentic-motion-graphics: voiceover runs the clock, Whisper timestamps drive every cut > Lob0Garou/opus-visual-motion-engine: deterministic seek(t), automated render QA, frame-exact MP4 start on floor 01. don't skip floors

Asteri

15,185 views • 19 days ago

Opus 5.5 is f*cking insane at UI design 20 tools to build your own UI design studio with Opus 5.5 landing pages. dashboards. app screens. full design systems. collect the references, set the tokens, build the components, check every state, ship. 01 shadcn/ui ▸ copy components into your repo and own the code 02 Frontend Design skill ▸ push your agent past templated default layouts 03 Tailwind CSS ▸ style everything with utility classes the agent can read 04 Radix Primitives ▸ get accessible dialogs, menus and popovers out of the box 05 Motion ▸ add hover, press and layout micro-interactions 06 Magic UI ▸ drop in animated landing page components 07 Lucide ▸ keep every icon in one consistent style 08 Figma MCP ▸ hand your agent the real frame, variables and components 09 Mobbin ▸ study real app screens before you design (free tier) 10 Laws of UX ▸ ground layout decisions in proven principles 11 Google Fonts ▸ choose typefaces for headlines and readable body text 12 Fontshare ▸ get free display fonts that don't look like everyone else's 13 Realtime Colors ▸ preview your palette on a real page before committing 14 WebAIM Contrast Checker ▸ make sure your text actually passes contrast 15 Storybook ▸ build and review every component state in isolation 16 Playwright ▸ let the agent screenshot its own UI and fix what it sees 17 Chrome DevTools MCP ▸ let the agent inspect the live page, console and performance 18 Unsplash ▸ find free photos for heroes and mockups 19 Squoosh ▸ compress images before they slow the page down 20 Vercel ▸ ship a preview link for every change the loop: write the brief → collect references → set the tokens → build the components → design every state → screenshot and fix → ship start with one screen. make every element earn its place. save this, then read the full guide for Opus 5.5 UI Engineering ↓
0:20
Asteri_eth's profile picture

Opus 5.5 is f*cking insane at UI design 20 tools to build your own UI design studio with Opus 5.5 landing pages. dashboards. app screens. full design systems. collect the references, set the tokens, build the components, check every state, ship. 01 shadcn/ui ▸ copy components into your repo and own the code 02 Frontend Design skill ▸ push your agent past templated default layouts 03 Tailwind CSS ▸ style everything with utility classes the agent can read 04 Radix Primitives ▸ get accessible dialogs, menus and popovers out of the box 05 Motion ▸ add hover, press and layout micro-interactions 06 Magic UI ▸ drop in animated landing page components 07 Lucide ▸ keep every icon in one consistent style 08 Figma MCP ▸ hand your agent the real frame, variables and components 09 Mobbin ▸ study real app screens before you design (free tier) 10 Laws of UX ▸ ground layout decisions in proven principles 11 Google Fonts ▸ choose typefaces for headlines and readable body text 12 Fontshare ▸ get free display fonts that don't look like everyone else's 13 Realtime Colors ▸ preview your palette on a real page before committing 14 WebAIM Contrast Checker ▸ make sure your text actually passes contrast 15 Storybook ▸ build and review every component state in isolation 16 Playwright ▸ let the agent screenshot its own UI and fix what it sees 17 Chrome DevTools MCP ▸ let the agent inspect the live page, console and performance 18 Unsplash ▸ find free photos for heroes and mockups 19 Squoosh ▸ compress images before they slow the page down 20 Vercel ▸ ship a preview link for every change the loop: write the brief → collect references → set the tokens → build the components → design every state → screenshot and fix → ship start with one screen. make every element earn its place. save this, then read the full guide for Opus 5.5 UI Engineering ↓

Asteri

11,443 views • 23 days ago

People already built a browser agent, a Claude Code bridge and a LangGraph router on top of Jev. Here are all 10 repos. If you have API access and don't know where to start, save this: 1. jev-browser Real browser control through MCP, CLI or as a library. At every step Jev answers two things: which element to touch, and whether the goal is done or the run is stuck. > 2. jev-browser-agent Picks the operation and the target in a single request, around a second per step. Anything under 0.6 confidence goes up to a bigger model or back to you. > 3. typesafe-jev-bridge OpenAI-compatible bridge with zero dependencies. Typed yes/no, choice and score answers inside Claude Code, Cursor, Cline or any OpenAI SDK, via CLI or HTTP. > 4. pilot-typesafeai-jev Jev wired into LangGraph and Deep Agents. Three questions in one request, plain code chooses the route, and the chat model only spends tokens on the route that won. > 5. building-with-jev-skill Agent skill for writing code that calls Jev. How to phrase questions, structure state, set thresholds, and debug a question that keeps answering wrong. > 6. jev-skill Guided setup and eval workflows. Checks what's installed without changing anything, never swaps your provider behind your back, never makes up probabilities. > 7. awesome-jev (yibie) What people actually shipped with Jev, sourced and sorted by category, with the limitations written down for each entry. > 8. awesome-typesafe-jev SDKs, live demos, agent tools and independent evals. Shows where every vendor number comes from. > 9. awesome-jev-by-typesafe Use cases, patterns and starter code backed by evidence. The 70 to 500 ms latency figure is labeled vendor-reported, not measured. > 10. awesome-jev (cobanov) Biggest catalogue so far: SDKs for Go, Java and JS, MCP connectors, guardrail experiments and studies. > Copy these complete Jev blueprints - then read full Jev setup below ↓
0:36
Asteri_eth's profile picture

People already built a browser agent, a Claude Code bridge and a LangGraph router on top of Jev. Here are all 10 repos. If you have API access and don't know where to start, save this: 1. jev-browser Real browser control through MCP, CLI or as a library. At every step Jev answers two things: which element to touch, and whether the goal is done or the run is stuck. > 2. jev-browser-agent Picks the operation and the target in a single request, around a second per step. Anything under 0.6 confidence goes up to a bigger model or back to you. > 3. typesafe-jev-bridge OpenAI-compatible bridge with zero dependencies. Typed yes/no, choice and score answers inside Claude Code, Cursor, Cline or any OpenAI SDK, via CLI or HTTP. > 4. pilot-typesafeai-jev Jev wired into LangGraph and Deep Agents. Three questions in one request, plain code chooses the route, and the chat model only spends tokens on the route that won. > 5. building-with-jev-skill Agent skill for writing code that calls Jev. How to phrase questions, structure state, set thresholds, and debug a question that keeps answering wrong. > 6. jev-skill Guided setup and eval workflows. Checks what's installed without changing anything, never swaps your provider behind your back, never makes up probabilities. > 7. awesome-jev (yibie) What people actually shipped with Jev, sourced and sorted by category, with the limitations written down for each entry. > 8. awesome-typesafe-jev SDKs, live demos, agent tools and independent evals. Shows where every vendor number comes from. > 9. awesome-jev-by-typesafe Use cases, patterns and starter code backed by evidence. The 70 to 500 ms latency figure is labeled vendor-reported, not measured. > 10. awesome-jev (cobanov) Biggest catalogue so far: SDKs for Go, Java and JS, MCP connectors, guardrail experiments and studies. > Copy these complete Jev blueprints - then read full Jev setup below ↓

Asteri

16,629 views • 1 month ago

A DENTAL CLINIC CAN LOSE $20K BEFORE THE PATIENT EVEN CALLS Not because the doctor is bad Because the first thing people see is a pattern: "nobody answered", "pricing was unclear", "they rushed me", "front desk was rude", "I waited forever", "they never followed up" That is enough for a buyer to choose the clinic two blocks away The interesting part is that Claude can turn those complaints into a sales asset for the business owner It reads the reviews, finds the exact phrases that keep killing trust, shows where the booking process breaks, then gives the team new replies, intake scripts, FAQ pages, follow-up messages, and a weekly view of what changed This is a cleaner offer than "we will get you more leads" You are showing them the leads they are already losing For high-ticket local businesses, that is easier to understand than another ad campaign, because the proof is sitting on their Google profile in the customer’s own words Full article below
1:13
Asteri_eth's profile picture

A DENTAL CLINIC CAN LOSE $20K BEFORE THE PATIENT EVEN CALLS Not because the doctor is bad Because the first thing people see is a pattern: "nobody answered", "pricing was unclear", "they rushed me", "front desk was rude", "I waited forever", "they never followed up" That is enough for a buyer to choose the clinic two blocks away The interesting part is that Claude can turn those complaints into a sales asset for the business owner It reads the reviews, finds the exact phrases that keep killing trust, shows where the booking process breaks, then gives the team new replies, intake scripts, FAQ pages, follow-up messages, and a weekly view of what changed This is a cleaner offer than "we will get you more leads" You are showing them the leads they are already losing For high-ticket local businesses, that is easier to understand than another ad campaign, because the proof is sitting on their Google profile in the customer’s own words Full article below

Asteri

16,300 views • 4 months ago

MOST PEOPLE USE CLAUDE CODE LIKE CHATGPT WITH A TERMINAL That is why they only get 30% of the value. They paste a task, wait for an answer, then keep explaining the same rules again when the context gets messy. The real power starts when you stop treating it like a chatbot and start treating it like an operating system for work. The useful commands are not flashy. They just remove the parts that quietly waste hours: > /init builds the project memory > /memory edits the rules Claude should keep > /clear resets the chat without losing the setup > /compact compresses a long session before quality drops > /context shows where your tokens are going > /rewind rolls back when an edit breaks the direction > /plan forces a blueprint before execution > /model matches the brain to the task > /goal lets it work toward a clear finish line This is the difference between asking AI for help and actually managing an AI worker. One mode gives you random useful answers. The other gives you memory, boundaries, checkpoints, context control and repeatable execution. Most people are still trying to write better prompts. The better move is building a better system around the model. save this
1:05
Asteri_eth's profile picture

MOST PEOPLE USE CLAUDE CODE LIKE CHATGPT WITH A TERMINAL That is why they only get 30% of the value. They paste a task, wait for an answer, then keep explaining the same rules again when the context gets messy. The real power starts when you stop treating it like a chatbot and start treating it like an operating system for work. The useful commands are not flashy. They just remove the parts that quietly waste hours: > /init builds the project memory > /memory edits the rules Claude should keep > /clear resets the chat without losing the setup > /compact compresses a long session before quality drops > /context shows where your tokens are going > /rewind rolls back when an edit breaks the direction > /plan forces a blueprint before execution > /model matches the brain to the task > /goal lets it work toward a clear finish line This is the difference between asking AI for help and actually managing an AI worker. One mode gives you random useful answers. The other gives you memory, boundaries, checkpoints, context control and repeatable execution. Most people are still trying to write better prompts. The better move is building a better system around the model. save this

Asteri

15,347 views • 4 months ago

Traditional development agencies are walking dead, they just don't know it yet Typical agency burns 70% of revenue on salaries for work that's repetitive and replaceable Kimi K2.6 lets one person run a 300-agent swarm for $500/mo and scale to $80k/mo Not a chatbot a fully autonomous execution layer that solves 2/3 of real GitHub issues out of the box
1:18
Asteri_eth's profile picture

Traditional development agencies are walking dead, they just don't know it yet Typical agency burns 70% of revenue on salaries for work that's repetitive and replaceable Kimi K2.6 lets one person run a 300-agent swarm for $500/mo and scale to $80k/mo Not a chatbot a fully autonomous execution layer that solves 2/3 of real GitHub issues out of the box

Asteri

17,551 views • 5 months ago

This guy put an AI data center into a box that fits on a desk It doesn't look like a serious machine It looks like a mini PC you could hide behind a monitor But with enough unified memory it can run local models, answer over your own files, power agents and keep private work off someone else's servers That sounds like a hobby setup until you look at what people are actually renting every month Claude subscription ChatGPT subscription API credits cloud GPU time usage limits private files uploaded into third-party tools For years the deal was simple: if you wanted intelligence, you rented it Now a Mac Mini M4 Pro or a 128GB AMD mini PC can handle a big part of everyday AI work locally Ollama runs the models Open WebUI gives you the chat interface Tailscale lets you reach it from your phone or laptop without exposing it to the open internet The cloud still wins for the hardest tasks But most daily AI work is not frontier research It is reading documents, summarizing files, drafting, coding helpers, search, notes and private workflows Most people will keep paying rent because it is convenient Others are realizing the assistant they rent every month can become hardware they own save this
0:27
Asteri_eth's profile picture

This guy put an AI data center into a box that fits on a desk It doesn't look like a serious machine It looks like a mini PC you could hide behind a monitor But with enough unified memory it can run local models, answer over your own files, power agents and keep private work off someone else's servers That sounds like a hobby setup until you look at what people are actually renting every month Claude subscription ChatGPT subscription API credits cloud GPU time usage limits private files uploaded into third-party tools For years the deal was simple: if you wanted intelligence, you rented it Now a Mac Mini M4 Pro or a 128GB AMD mini PC can handle a big part of everyday AI work locally Ollama runs the models Open WebUI gives you the chat interface Tailscale lets you reach it from your phone or laptop without exposing it to the open internet The cloud still wins for the hardest tasks But most daily AI work is not frontier research It is reading documents, summarizing files, drafting, coding helpers, search, notes and private workflows Most people will keep paying rent because it is convenient Others are realizing the assistant they rent every month can become hardware they own save this

Asteri

12,199 views • 4 months ago

A 90-second SaaS explainer can cost $12 to make and sell for $800 That is the part most people miss about AI video The money is not in posting random generated clips and hoping the algorithm likes them The money is in turning the same pipeline into a deliverable businesses already pay for A founder sends a product brief Claude turns it into a script and scene plan Midjourney creates the frames Runway adds motion ElevenLabs records the narration Suno makes the background music Make sends the finished video to the client folder Now the output is not "content" It is a product video a SaaS company can use on a homepage, pitch deck, ad or launch page The stack costs $124/month One video costs around $12 to produce The selling price can be $350-$800 That is why AI video gets interesting when you stop thinking like a creator and start thinking like a service business The tools are cheap The finished outcome is not
0:20
Asteri_eth's profile picture

A 90-second SaaS explainer can cost $12 to make and sell for $800 That is the part most people miss about AI video The money is not in posting random generated clips and hoping the algorithm likes them The money is in turning the same pipeline into a deliverable businesses already pay for A founder sends a product brief Claude turns it into a script and scene plan Midjourney creates the frames Runway adds motion ElevenLabs records the narration Suno makes the background music Make sends the finished video to the client folder Now the output is not "content" It is a product video a SaaS company can use on a homepage, pitch deck, ad or launch page The stack costs $124/month One video costs around $12 to produce The selling price can be $350-$800 That is why AI video gets interesting when you stop thinking like a creator and start thinking like a service business The tools are cheap The finished outcome is not

Asteri

11,809 views • 4 months ago

ONE AI AGENT CAN TURN EMPTY BACKYARDS INTO POOL CONTRACTOR LEADS BEFORE THE HOMEOWNER EVEN ASKS FOR A QUOTE It works like this: AI scans expensive homes, finds large backyards without pools, generates a realistic pool preview, estimates the potential value increase, and turns it into a personalized sales pitch. It’s a fully automated workflow that: > Finds homes worth $600K-$2M > Detects large unused backyards with no pool > Generates a realistic before/after pool visualization > Estimates project cost and potential home value upside > Turns everything into a ready-to-send offer for the homeowner or contractor The valuable part is not that AI can make a pretty image. It’s that the buyer sees the outcome before anyone sells it to them. That changes the whole offer. You are not saying "we build pools." You are showing the exact pool that could exist in their backyard. And in the article below you’ll find 4 more AI automations that can turn boring workflows into real revenue
0:23
Asteri_eth's profile picture

ONE AI AGENT CAN TURN EMPTY BACKYARDS INTO POOL CONTRACTOR LEADS BEFORE THE HOMEOWNER EVEN ASKS FOR A QUOTE It works like this: AI scans expensive homes, finds large backyards without pools, generates a realistic pool preview, estimates the potential value increase, and turns it into a personalized sales pitch. It’s a fully automated workflow that: > Finds homes worth $600K-$2M > Detects large unused backyards with no pool > Generates a realistic before/after pool visualization > Estimates project cost and potential home value upside > Turns everything into a ready-to-send offer for the homeowner or contractor The valuable part is not that AI can make a pretty image. It’s that the buyer sees the outcome before anyone sells it to them. That changes the whole offer. You are not saying "we build pools." You are showing the exact pool that could exist in their backyard. And in the article below you’ll find 4 more AI automations that can turn boring workflows into real revenue

Asteri

10,900 views • 4 months ago

THIS OPERATOR REPLACED A $50,000 AUTOMATION AGENCY WITH A 3-HOUR BUIL 378 browser tabs. 47 Notion pages nobody touched in 6 months. A spreadsheet that crashes every Monday He didn't hire a dev team. He didn't buy n8n enterprise He cloned a GitHub repo, wired 3 API keys, and typed /onboard into Claude Code By day 14 his team messaged the AI OS in Slack instead of messaging him His old workflow: 3 hours of context switching, 2 hours of actual work His new workflow: 5 hours of deep work, 30 minutes of admin This is not a dashboard. This is a command center Full breakdown below ↓
0:46
Asteri_eth's profile picture

THIS OPERATOR REPLACED A $50,000 AUTOMATION AGENCY WITH A 3-HOUR BUIL 378 browser tabs. 47 Notion pages nobody touched in 6 months. A spreadsheet that crashes every Monday He didn't hire a dev team. He didn't buy n8n enterprise He cloned a GitHub repo, wired 3 API keys, and typed /onboard into Claude Code By day 14 his team messaged the AI OS in Slack instead of messaging him His old workflow: 3 hours of context switching, 2 hours of actual work His new workflow: 5 hours of deep work, 30 minutes of admin This is not a dashboard. This is a command center Full breakdown below ↓

Asteri

10,194 views • 5 months ago

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