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I built the LLM interface I wished existed. interface0 is for power users: cross-provider memory & chat, multi-model synthesis, sharing & team features, granular context engineering, template prompts, forking, prompt enhancing, & more Here's a demo—see 🧵 for the rest

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Andy Bromberg

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24,917 görüntüleme • 11 ay önce •via X (Twitter)

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I just created a demo website for a super advanced cross-framework library for smooth LLM text streaming effects & also text-staggers.
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I just created a demo website for a super advanced cross-framework library for smooth LLM text streaming effects & also text-staggers.

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CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.
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CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

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Cross-chain execution is broken by bridging, RPC & interface inconsistencies! Console's Multi-Chain View is here to improve it⛓️ 🔗 One address across chains 📊 A unified dashboard for asset & position overviews 🔒 Siloed risk management & more! Release 1 Overview below🧵
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Cross-chain execution is broken by bridging, RPC & interface inconsistencies! Console's Multi-Chain View is here to improve it⛓️ 🔗 One address across chains 📊 A unified dashboard for asset & position overviews 🔒 Siloed risk management & more! Release 1 Overview below🧵

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NEW: Universal PDF support!⚡️📄 OpenRouter now supports PDF processing for every LLM, including PDFs with images. Multi-model demo & details below:
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Introducing the most advanced open-source chat template built on top of AI SDK. → Agents (Orchestration, handoffs & context guardrails) → Artifacts (Canvas, Charts) → Rate limits (Messages, tool permissions) Link ⬇️🧵
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Pontus Abrahamsson — oss/acc

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I had a great time chatting with three of Anthropic's top prompt engineers: Amanda Askell, Zack Witten, and David Hershey. We covered a few topics like: - what makes a good prompt engineer - practical tips for writing better prompts - what's happening inside an LLM - jailbreaks - the future of prompt engineering - and more If you want to understand how we think about prompt engineering, this may be the best resource out there. Here's the entire one hour and sixteen minutes of our conversation. Enjoy!
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I had a great time chatting with three of Anthropic's top prompt engineers: Amanda Askell, Zack Witten, and David Hershey. We covered a few topics like: - what makes a good prompt engineer - practical tips for writing better prompts - what's happening inside an LLM - jailbreaks - the future of prompt engineering - and more If you want to understand how we think about prompt engineering, this may be the best resource out there. Here's the entire one hour and sixteen minutes of our conversation. Enjoy!

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Prompt engineering is hard. That's why we've been adding tons of features to the Anthropic Console to make the entire process easier for devs. Our goal is to cut the time you spend working on prompts by >90%. Here's a quick walkthrough:
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Prompt engineering is hard. That's why we've been adding tons of features to the Anthropic Console to make the entire process easier for devs. Our goal is to cut the time you spend working on prompts by >90%. Here's a quick walkthrough:

Alex Albert

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🔄 Introducing #MiniFreak Update 3.0: unlock the full potential of granular synthesis with 8 new engines, granular-focused samples and an expanded factory bank. Available for #FREE for MiniFreak hardware and software users. Learn More →

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Today we’re launching Synth LLM for Traders on Polymarket Limitless Hyperliquid Deribit and more This is the first ever LLM-native interface for turning live Monte Carlo forecasts into custom statistics, charts & example trades QT for a chance to win Pro access
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Flux.2 Max is out NOW 💥 UNLIMITED for 1 month for Premium+ and Pro users The highest-quality and most consistent FLUX.2 model Built for maximum prompt adherence, multi-reference consistency, and production-ready editing at blazing speed Available for all users

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Here's the anim bible I made for the Dragon Ball sequence in The Synthesis. It was so fun collecting prod art & references to analyse. The animators did a great job staying true to that early DB style and working with the amazing char sheets & poses from the design team. #twwwog
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Here's the anim bible I made for the Dragon Ball sequence in The Synthesis. It was so fun collecting prod art & references to analyse. The animators did a great job staying true to that early DB style and working with the amazing char sheets & poses from the design team. #twwwog

Freddie

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Is this a 3D model? 2 minutes, one shot prompt after 5 prior prompts for context. Look it's learning and evolving...
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Is this a 3D model? 2 minutes, one shot prompt after 5 prior prompts for context. Look it's learning and evolving...

Andrew Rulnick

27,915 görüntüleme • 6 ay önce

I dropped 2 more prompting guides for animation and typography This has a prompt builder that is insanely useful. Lots of types of animations, timing, techniques, examples & recommended prompts. My first guide was shockingly popular drawing 3k users in 24h. So thank you!
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I dropped 2 more prompting guides for animation and typography This has a prompt builder that is insanely useful. Lots of types of animations, timing, techniques, examples & recommended prompts. My first guide was shockingly popular drawing 3k users in 24h. So thank you!

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🎨 Introducing Prompt Canvas — a novel UX for prompt engineering Building LLM applications requires new and dedicated tools for prompt engineering. With Prompt Canvas in LangSmith, you can: • Collaborate with an AI agent to draft, refine, and edit your prompts • Define custom quick actions to standardize prompting strategies used across the org ✍️ Learn more: ➡️ Try it out:

LangChain

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Ara is the self-driving IDE. Instead of waiting for your next prompt, it ships features for you. Ara maintains self-improving memory across the app, Claude, and Codex. Congrats on the launch, Adi & Sven Myhre!
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Ara is the self-driving IDE. Instead of waiting for your next prompt, it ships features for you. Ara maintains self-improving memory across the app, Claude, and Codex. Congrats on the launch, Adi & Sven Myhre!

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A 10x workflow for technical PMs & EMs: Linear inbox 🤝 code agents (Codegen ) The "inbox" is a natural queueing interface for reviewing agent outputs. Here's how to use the inbox to multi-task and effectively manage teams of agents 👇
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A 10x workflow for technical PMs & EMs: Linear inbox 🤝 code agents (Codegen ) The "inbox" is a natural queueing interface for reviewing agent outputs. Here's how to use the inbox to multi-task and effectively manage teams of agents 👇

Jay Hack

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I built a tool to create, animate & export pixel art using Figma & now it’s on a billboard in Singapore 🫨 It all started out as a joke & after 384 prompts in Figma Make….I DID IT Thanks Figma for all the love & for featuring it. It’s been my highlight of this year.
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I built a tool to create, animate & export pixel art using Figma & now it’s on a billboard in Singapore 🫨 It all started out as a joke & after 384 prompts in Figma Make….I DID IT Thanks Figma for all the love & for featuring it. It’s been my highlight of this year.

Ayaneshu

23,195 görüntüleme • 7 ay önce

Since it got a bit of attention, I'm sharing the Seedance 2.0 prompts. It's not really the kind of prompt system I want yet, I'm working on a better method that performs more consistently. I'll share that with details soon. Also the previs prompt with gpt image 2 isn't ready yet. The one here was just loosely put together in chat with rough directions. Also working on a proper template for that. You can find the Seedance 2.0 prompts in the replies.
0:30

Since it got a bit of attention, I'm sharing the Seedance 2.0 prompts. It's not really the kind of prompt system I want yet, I'm working on a better method that performs more consistently. I'll share that with details soon. Also the previs prompt with gpt image 2 isn't ready yet. The one here was just loosely put together in chat with rough directions. Also working on a proper template for that. You can find the Seedance 2.0 prompts in the replies.

Kōda

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Game on! 😎 Dropped a new demo, #SuperDash, a side scrolling multiplatform game built with Flutter & Flame using the new Endless Runner template. Can you make it on the leaderboard? Download the app for iOS or Android & play on desktop browsers here →
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Game on! 😎 Dropped a new demo, #SuperDash, a side scrolling multiplatform game built with Flutter & Flame using the new Endless Runner template. Can you make it on the leaderboard? Download the app for iOS or Android & play on desktop browsers here →

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