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🚨 Your AI API bill might be higher than it needs to be. lets you access 50+ models through one OpenAI-compatible API, while routing requests across 160+ providers to find competitive real-time prices. Same models. Smarter routing. Potentially 30–70% lower costs. Here’s how it works 👇

Kalsoom (ghotai )

51,054 subscribers

51,069 次观看 • 16 天前 •via X (Twitter)

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this is the worst local AI will ever be. tomorrow it gets faster. next month the models get smarter. next year your GPU runs what a data center runs today. Qwen3.5-35B-A3B on a single 3090. told it to visualize its own expert routing. 256 experts, 8 active per token, rendered in 3D on the same GPU running inference. no API key. no subscription. no permission needed. closed AI isn't losing ground. it's losing the argument.

this is the worst local AI will ever be. tomorrow it gets faster. next month the models get smarter. next year your GPU runs what a data center runs today. Qwen3.5-35B-A3B on a single 3090. told it to visualize its own expert routing. 256 experts, 8 active per token, rendered in 3D on the same GPU running inference. no API key. no subscription. no permission needed. closed AI isn't losing ground. it's losing the argument.

Sudo su

106,822 次观看 • 7 个月前

🚀 Kibble DeFAI is Live! Smarter. Faster. Simpler. Everything you need in just one chat Meet DeFAI, the all-in-one AI assistant for crypto users: 🤖 Trading Assistant – Ask anything, get real-time trading suggestions 📊 Market Insights – Know what’s moving before it moves 💧Liquidity Management – Optimize your swaps with intelligent routing ⚡️ Smart Order Routing (SOR) – Automatically find the best prices across platforms 💬 And yes… you can swap directly inside the chat, just ask! No more switching tabs or figuring things out alone. Just message the bot and get everything – insights, strategies, and swaps – instantly. 🧪 Try Kibble DeFAI now: 📘 Learn how it works: Welcome to the future of DeFAI #Kibble #DeFAI #AI #DeFi #ChatToSwap

🚀 Kibble DeFAI is Live! Smarter. Faster. Simpler. Everything you need in just one chat Meet DeFAI, the all-in-one AI assistant for crypto users: 🤖 Trading Assistant – Ask anything, get real-time trading suggestions 📊 Market Insights – Know what’s moving before it moves 💧Liquidity Management – Optimize your swaps with intelligent routing ⚡️ Smart Order Routing (SOR) – Automatically find the best prices across platforms 💬 And yes… you can swap directly inside the chat, just ask! No more switching tabs or figuring things out alone. Just message the bot and get everything – insights, strategies, and swaps – instantly. 🧪 Try Kibble DeFAI now: 📘 Learn how it works: Welcome to the future of DeFAI #Kibble #DeFAI #AI #DeFi #ChatToSwap

Kibble

70,837 次观看 • 1 年前

deepseek v4 pro is basically free right now 😳 teamorouter is offering deepseek v4 pro at almost no cost you can also use deepseek v4 flash for free what you get: - deepseek v4 pro free - deepseek v4 flash free - 1M context - openai compatible api - no subscription - credits never expire why this is worth checking: > v4 pro is currently listed at $0 input and output > flash is also available at $0 > works with claude code, codex and other tools > one api gives you access to multiple models getting started: 1. go to 2. create your account 3. open the dashboard 4. create your api key base url: 5. add it to your ai coding tool 6. select deepseek-v4-pro-free worth testing while it’s available

deepseek v4 pro is basically free right now 😳 teamorouter is offering deepseek v4 pro at almost no cost you can also use deepseek v4 flash for free what you get: - deepseek v4 pro free - deepseek v4 flash free - 1M context - openai compatible api - no subscription - credits never expire why this is worth checking: > v4 pro is currently listed at $0 input and output > flash is also available at $0 > works with claude code, codex and other tools > one api gives you access to multiple models getting started: 1. go to 2. create your account 3. open the dashboard 4. create your api key base url: 5. add it to your ai coding tool 6. select deepseek-v4-pro-free worth testing while it’s available

K2S

38,998 次观看 • 1 个月前

Okay... this is actually insane. OpenCodex feels like the open-source breakthrough I've been waiting for. The best part : You can plug multiple providers into the same OpenAI Codex harness and switch between models depending on the task. Running low on tokens? No problem. Use another provider. OpenRouter free model today? Plug it in. This completely changes how I think about AI coding workflows. And yes... it even works on mobile. OpenCodex might be one of the most useful open-source AI projects I've seen this year. OpenAI built an incredible harness. The open-source community just made it universal.

Okay... this is actually insane. OpenCodex feels like the open-source breakthrough I've been waiting for. The best part : You can plug multiple providers into the same OpenAI Codex harness and switch between models depending on the task. Running low on tokens? No problem. Use another provider. OpenRouter free model today? Plug it in. This completely changes how I think about AI coding workflows. And yes... it even works on mobile. OpenCodex might be one of the most useful open-source AI projects I've seen this year. OpenAI built an incredible harness. The open-source community just made it universal.

CHOI

42,894 次观看 • 2 个月前

This free model just beat every closed-source AI on coding benchmarks. Open weights. 6x cheaper than Opus. The labs don't want you to know it exists. > GLM-5.2 from Zai just topped Code Arena - the first open-weights model to ever hold the #1 coding spot. Not a leaked weight, not a fine-tune. A fully open model beating GPT and Claude on their own turf. It's live on Hugging Face Inference API right now. 5 providers: Novita, Together AI, Fireworks, Deepinfra, Zai. OpenAI-compatible client. → Go to huggingface(.)co → grab HF_TOKEN from account settings → plug into any OpenAI-compatible client 6x cheaper than Opus. Companies bleeding on AI bills are already routing to this for orchestration, caching, and token optimization. The smart money moved before the headline dropped. > Now you know. huggingface(.)co/zai-org/GLM-5.2 Bookmark this before everyone else figures it out.

This free model just beat every closed-source AI on coding benchmarks. Open weights. 6x cheaper than Opus. The labs don't want you to know it exists. > GLM-5.2 from Zai just topped Code Arena - the first open-weights model to ever hold the #1 coding spot. Not a leaked weight, not a fine-tune. A fully open model beating GPT and Claude on their own turf. It's live on Hugging Face Inference API right now. 5 providers: Novita, Together AI, Fireworks, Deepinfra, Zai. OpenAI-compatible client. → Go to huggingface(.)co → grab HF_TOKEN from account settings → plug into any OpenAI-compatible client 6x cheaper than Opus. Companies bleeding on AI bills are already routing to this for orchestration, caching, and token optimization. The smart money moved before the headline dropped. > Now you know. huggingface(.)co/zai-org/GLM-5.2 Bookmark this before everyone else figures it out.

Atenov int.

12,395 次观看 • 3 个月前

1/3 🤖 Meet AgentOS: A Token-efficient, Microkernel AI agent with on-device model routing across CLI, Web UI, and chat. A local router reads every message on your device and sends it to the cheapest model that can still do the job well. You stop overpaying for AI. ⚡ What makes it stand out: ■ Smart on-device model routing across 20+ providers ( bankrbot LLM Gateway, OpenRouter, OpenAI, Anthropic, Ollama, and more). ■ Persistent local memory that survives restarts. ■ A layered security sandbox (Standard, Strict, Locked). ■ 37 built-in skills plus MCP, loaded only when a task needs them, and more ■ One unified gateway for CLI, Web UI, Slack, Telegram, Discord, and more Remember this: AgentOS has been integrated with the Bankr LLM Gateway since day one. That means any Bankr user with Bankr API key can start using AgentOS in minutes. Let the router cook.

1/3 🤖 Meet AgentOS: A Token-efficient, Microkernel AI agent with on-device model routing across CLI, Web UI, and chat. A local router reads every message on your device and sends it to the cheapest model that can still do the job well. You stop overpaying for AI. ⚡ What makes it stand out: ■ Smart on-device model routing across 20+ providers ( bankrbot LLM Gateway, OpenRouter, OpenAI, Anthropic, Ollama, and more). ■ Persistent local memory that survives restarts. ■ A layered security sandbox (Standard, Strict, Locked). ■ 37 built-in skills plus MCP, loaded only when a task needs them, and more ■ One unified gateway for CLI, Web UI, Slack, Telegram, Discord, and more Remember this: AgentOS has been integrated with the Bankr LLM Gateway since day one. That means any Bankr user with Bankr API key can start using AgentOS in minutes. Let the router cook.

AgentOS

204,940 次观看 • 2 个月前

PAYING PER MODEL IS THE DUMBEST THING IN TECH RIGHT NOW i was paying 3x what i needed to for AI inference the grid lets you buy a quality spec instead of a specific model.. it routes every request in real time to the cheapest option that qualifies swap one url and your code keeps working exactly the same openai-compatible, one line to switch, 200M free tokens to start

PAYING PER MODEL IS THE DUMBEST THING IN TECH RIGHT NOW i was paying 3x what i needed to for AI inference the grid lets you buy a quality spec instead of a specific model.. it routes every request in real time to the cheapest option that qualifies swap one url and your code keeps working exactly the same openai-compatible, one line to switch, 200M free tokens to start

Robin Delta

15,729 次观看 • 4 个月前

Still on Higgsfield? See how unlimited access changes the game. Why pay $30–50/month for separate AI tools… when GlamAI just launched: 🚀 UNLIMITED ACCESS FOR EVERYONE — 70% OFF (Limited Time) Up to 10x cheaper than comparable AI stacks. Here’s what you get: ✅ Unlimited access ✅ All models included ✅ No pay-per-tool ✅ No hidden upgrades ✅ Full feature access Inside the platform: • Nano Banana Pro 2K • Seedream 4.5 4K • Kling 3.0 • + unrestricted model access

Still on Higgsfield? See how unlimited access changes the game. Why pay $30–50/month for separate AI tools… when GlamAI just launched: 🚀 UNLIMITED ACCESS FOR EVERYONE — 70% OFF (Limited Time) Up to 10x cheaper than comparable AI stacks. Here’s what you get: ✅ Unlimited access ✅ All models included ✅ No pay-per-tool ✅ No hidden upgrades ✅ Full feature access Inside the platform: • Nano Banana Pro 2K • Seedream 4.5 4K • Kling 3.0 • + unrestricted model access

Emir.

57,045 次观看 • 7 个月前

JENSEN HUANG UNVEILED A BOARD THAT RUNS 1 TRILLION PARAMETER AI MODELS. THE $249 NVIDIA BOX UNDER YOUR DESK KILLS A $200/MONTH AI BILL FOR $5 IN ELECTRICITY jensen held it up on stage with one hand and called it the architecture that runs the future of ai. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

JENSEN HUANG UNVEILED A BOARD THAT RUNS 1 TRILLION PARAMETER AI MODELS. THE $249 NVIDIA BOX UNDER YOUR DESK KILLS A $200/MONTH AI BILL FOR $5 IN ELECTRICITY jensen held it up on stage with one hand and called it the architecture that runs the future of ai. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

54,492 次观看 • 3 个月前

ChatGPT Web is now inside Codex 😲 this open-source project has already crossed 2.7k stars instead of using a separate workflow, it lets you use ChatGPT Web models directly from Codex's model picker what you get: - GPT-5.6 Pro for eligible accounts - free Luna access - ChatGPT Web quota - Codex tools + context - images, streaming and reasoning - open-source + MIT licensed getting started: 1. go to 2. install the launcher 3. sign in with your ChatGPT account 4. run the browser checks 5. install the models 6. restart Codex and select ChatGPT Web the interesting part? you can keep using Codex normally while routing the selected model through ChatGPT Web no separate API key for the ChatGPT model 2.7k+ stars and still actively updated worth checking if you already use Codex and want to experiment with ChatGPT Web models

ChatGPT Web is now inside Codex 😲 this open-source project has already crossed 2.7k stars instead of using a separate workflow, it lets you use ChatGPT Web models directly from Codex's model picker what you get: - GPT-5.6 Pro for eligible accounts - free Luna access - ChatGPT Web quota - Codex tools + context - images, streaming and reasoning - open-source + MIT licensed getting started: 1. go to 2. install the launcher 3. sign in with your ChatGPT account 4. run the browser checks 5. install the models 6. restart Codex and select ChatGPT Web the interesting part? you can keep using Codex normally while routing the selected model through ChatGPT Web no separate API key for the ChatGPT model 2.7k+ stars and still actively updated worth checking if you already use Codex and want to experiment with ChatGPT Web models

K2S

100,249 次观看 • 25 天前

We just dropped a game-changer to slash your Gemini API costs 🤯 Yesterday we launched Gemini Context Caching, saving you up to 70% on your bill 💸💸 Here's how it works. Gemini let’s you add powerful AI models to create apps like: 📧 Email apps that summarize entire threads for you 💃 Storytelling apps that write the next chapter 💼 HR chatbots that actually understand your company's policies To make these apps, you need to repeatedly send Gemini instructions, which can be pricy. But through the integration of research, software and chips came a breakthrough; 🤖 Context Caching Just tell Google what you want to save money on and we'll take care of the rest. It’s an industry first and it’s going to be a big deal. I'm so proud of the team for always putting developers first 🙌 Cost is always a huge part of the equation and we keep making it better. Try Gemini Context Caching now and tell us what you think! Docs link is below. #AI #LLM #Gemini

We just dropped a game-changer to slash your Gemini API costs 🤯 Yesterday we launched Gemini Context Caching, saving you up to 70% on your bill 💸💸 Here's how it works. Gemini let’s you add powerful AI models to create apps like: 📧 Email apps that summarize entire threads for you 💃 Storytelling apps that write the next chapter 💼 HR chatbots that actually understand your company's policies To make these apps, you need to repeatedly send Gemini instructions, which can be pricy. But through the integration of research, software and chips came a breakthrough; 🤖 Context Caching Just tell Google what you want to save money on and we'll take care of the rest. It’s an industry first and it’s going to be a big deal. I'm so proud of the team for always putting developers first 🙌 Cost is always a huge part of the equation and we keep making it better. Try Gemini Context Caching now and tell us what you think! Docs link is below. #AI #LLM #Gemini

Liam Bolling

124,644 次观看 • 2 年前

1.7 billion free tokens per month. A month ago i showed you how to route claude code through free providers. someone just shipped the cleanest version of this setup yet… it's called Freellmapi 13,400+ stars on github, MIT licensed, takes 2 minutes to install. what it does: stacks the free tiers of 16 different LLM providers behind one local API. point claude code, codex, or cursor at that one endpoint, and it automatically routes your calls across all 16 free pools. The 16 providers it covers: Google, Groq, Cerebras, Mistral, OpenRouter, GitHub Models, Cloudflare, Cohere, NVIDIA, HuggingFace, Ollama Cloud, Kilo, Pollinations, LLM7, OVH, and OpenCode Zen. if you sign up to all 16 and add your free API keys, you get roughly 1.7 billion free tokens per month combined. ▫️ How to install (one command) curl -fsSL bash this runs the whole thing locally on your machine through Docker. once it's up, open paste your provider keys on the Keys page, and grab the unified API key from the dashboard. that's the key you point your apps at. With this, claude code stops hitting your monthly cap because every prompt routes through the 16 free pools instead of your paid plan. and if one provider rate-limits mid-conversation, freellmapi falls over to the next one automatically so your session never breaks. repo: Free, MIT-licensed, runs on your laptop or a $5 VPS.

1.7 billion free tokens per month. A month ago i showed you how to route claude code through free providers. someone just shipped the cleanest version of this setup yet… it's called Freellmapi 13,400+ stars on github, MIT licensed, takes 2 minutes to install. what it does: stacks the free tiers of 16 different LLM providers behind one local API. point claude code, codex, or cursor at that one endpoint, and it automatically routes your calls across all 16 free pools. The 16 providers it covers: Google, Groq, Cerebras, Mistral, OpenRouter, GitHub Models, Cloudflare, Cohere, NVIDIA, HuggingFace, Ollama Cloud, Kilo, Pollinations, LLM7, OVH, and OpenCode Zen. if you sign up to all 16 and add your free API keys, you get roughly 1.7 billion free tokens per month combined. ▫️ How to install (one command) curl -fsSL bash this runs the whole thing locally on your machine through Docker. once it's up, open paste your provider keys on the Keys page, and grab the unified API key from the dashboard. that's the key you point your apps at. With this, claude code stops hitting your monthly cap because every prompt routes through the 16 free pools instead of your paid plan. and if one provider rate-limits mid-conversation, freellmapi falls over to the next one automatically so your session never breaks. repo: Free, MIT-licensed, runs on your laptop or a $5 VPS.

Axel Bitblaze 🪓

48,825 次观看 • 2 个月前

I built a 1-click deploy for Hermes Agent No terminal, no Docker, no API keys. In one click it: → Spins up a dedicated cloud container → Configures Hermes with persistent memory & 70+ skills → Connects it to your Telegram bot → Goes live in under 60 seconds Your own AI agent that learns, creates skills, and gets smarter the longer it runs. Reply "HERMES" + RT and I'll send you the link (must be following so I can DM)

I built a 1-click deploy for Hermes Agent No terminal, no Docker, no API keys. In one click it: → Spins up a dedicated cloud container → Configures Hermes with persistent memory & 70+ skills → Connects it to your Telegram bot → Goes live in under 60 seconds Your own AI agent that learns, creates skills, and gets smarter the longer it runs. Reply "HERMES" + RT and I'll send you the link (must be following so I can DM)

Chris

34,718 次观看 • 5 个月前

agent router is giving away free ai credits to new users 😳 if your github account is old enough you might be eligible to claim around $175 in free api credits what you get: - around $175 in free credits - access to gpt-5.6-sol - claude opus 5 - claude opus 4.8 why this is useful: > try premium models without paying upfront > compare different models before buying credits > great for testing agents apps and coding workflows getting started takes less than 2 minutes: 1. sign up with your GitHub account 2. make sure your GitHub account is old enought to get credits 3. dont use email or username signup 4. claim your credits if youre eligible 5. start testing models pro tip: if youre eligible claim the credits first and decide later which models you want to use the best part? you can try multiple premium models without spending your own money while the offer is still available

agent router is giving away free ai credits to new users 😳 if your github account is old enough you might be eligible to claim around $175 in free api credits what you get: - around $175 in free credits - access to gpt-5.6-sol - claude opus 5 - claude opus 4.8 why this is useful: > try premium models without paying upfront > compare different models before buying credits > great for testing agents apps and coding workflows getting started takes less than 2 minutes: 1. sign up with your GitHub account 2. make sure your GitHub account is old enought to get credits 3. dont use email or username signup 4. claim your credits if youre eligible 5. start testing models pro tip: if youre eligible claim the credits first and decide later which models you want to use the best part? you can try multiple premium models without spending your own money while the offer is still available

K2S

63,883 次观看 • 1 个月前

I topped up $5 on an API aggregator ToAPIs Then I found out GPT Image 2 costs only around $0.015 per image. If you do a lot of testing or batch-generate commercial AI images, that difference adds up fast. I think I just found the secret to generating more, testing more, and spending less. And it’s not just one model. With the same key, you can access 50+ models for image, video, and text, including GPT Image 2, Gemini Omni, Seedance 2.0, Kling AI 3.0, grok-video-1.5-preview, and more. Some models are priced up to 80% lower than official platforms. Just top up and test what you need: Made on ToAPIs with GPT Image 2 + Seedance 2.0

I topped up $5 on an API aggregator ToAPIs Then I found out GPT Image 2 costs only around $0.015 per image. If you do a lot of testing or batch-generate commercial AI images, that difference adds up fast. I think I just found the secret to generating more, testing more, and spending less. And it’s not just one model. With the same key, you can access 50+ models for image, video, and text, including GPT Image 2, Gemini Omni, Seedance 2.0, Kling AI 3.0, grok-video-1.5-preview, and more. Some models are priced up to 80% lower than official platforms. Just top up and test what you need: Made on ToAPIs with GPT Image 2 + Seedance 2.0

Shami

22,991 次观看 • 3 个月前

Your AI Toolkit Just Got Supercharged 5 elite AI models. 1 unified platform. 90 seconds of pure workflow magic. Here's the reality: Building with AI used to mean chaos—juggling tabs, managing API keys, context-switching hell. But what if you didn't have to choose? What if you could access the best of every model without leaving your workflow? Meet the New Standard: Replit's AI Model Ecosystem Claude for your complex thinking. GPT-4 for your creative fire. Mistral when you need lightning-speed execution. Llama for privacy-first local analysis. Open source freedom for the innovators. 300+ models. One dashboard. Zero friction. Switch between them in seconds, not minutes. No sign-ups. No API gymnastics. Just pick, prompt, and ship. Why This Matters You're not just saving time—you're reclaiming your focus. Every tab you don't open is mental energy preserved. Every API key you don't manage is a distraction eliminated. This is what AI integration should feel like: invisible. Effortless. Natural. The builders who master this first won't just be faster. They'll be unstoppable. Your move. Replit ⠕ is waiting. ✨

Your AI Toolkit Just Got Supercharged 5 elite AI models. 1 unified platform. 90 seconds of pure workflow magic. Here's the reality: Building with AI used to mean chaos—juggling tabs, managing API keys, context-switching hell. But what if you didn't have to choose? What if you could access the best of every model without leaving your workflow? Meet the New Standard: Replit's AI Model Ecosystem Claude for your complex thinking. GPT-4 for your creative fire. Mistral when you need lightning-speed execution. Llama for privacy-first local analysis. Open source freedom for the innovators. 300+ models. One dashboard. Zero friction. Switch between them in seconds, not minutes. No sign-ups. No API gymnastics. Just pick, prompt, and ship. Why This Matters You're not just saving time—you're reclaiming your focus. Every tab you don't open is mental energy preserved. Every API key you don't manage is a distraction eliminated. This is what AI integration should feel like: invisible. Effortless. Natural. The builders who master this first won't just be faster. They'll be unstoppable. Your move. Replit ⠕ is waiting. ✨

Hasan

43,168 次观看 • 9 个月前

Today we’re introducing Google AI Threat Defense - a comprehensive AI-powered cybersecurity solution designed to help continuously monitor for and stop AI-powered threats before they can impact your business. Here’s how it works: 1. AI Threat Defense uses our cybersecurity platform Wiz to scan and prioritize what applications and systems have the highest security risk. 2. Gemini and other frontier AI models can then autonomously perform continual deep scanning of your applications - starting with those at the highest risk - to identify security vulnerabilities. 3. The capabilities of CodeMender - a new software repair agent - are then used to verify and accelerate the patching of vulnerabilities. 4. And our Wiz autonomous agents continuously test your systems to find unknown vulnerabilities before adversaries do so that you can remediate them before you are attacked. While other model providers focus on using AI to find and flag vulnerabilities, Google AI Threat Defense actively prioritizes your most critical real-world risks and accelerates their remediation using a variety of models since no single model finds a superset of the vulnerabilities found by all other models.

Today we’re introducing Google AI Threat Defense - a comprehensive AI-powered cybersecurity solution designed to help continuously monitor for and stop AI-powered threats before they can impact your business. Here’s how it works: 1. AI Threat Defense uses our cybersecurity platform Wiz to scan and prioritize what applications and systems have the highest security risk. 2. Gemini and other frontier AI models can then autonomously perform continual deep scanning of your applications - starting with those at the highest risk - to identify security vulnerabilities. 3. The capabilities of CodeMender - a new software repair agent - are then used to verify and accelerate the patching of vulnerabilities. 4. And our Wiz autonomous agents continuously test your systems to find unknown vulnerabilities before adversaries do so that you can remediate them before you are attacked. While other model providers focus on using AI to find and flag vulnerabilities, Google AI Threat Defense actively prioritizes your most critical real-world risks and accelerates their remediation using a variety of models since no single model finds a superset of the vulnerabilities found by all other models.

Thomas Kurian

198,449 次观看 • 4 个月前

New Feature Live!🚨 Introducing Prompt Assist—a feature designed to streamline your prompt-writing experience with Alchemist AI. Prompt Assist integrates a speed-oriented AI model that analyzes your input as you write, offering contextually relevant suggestions in real-time. Here’s how it works: • Real-Time Suggestions: Prompt Assist dynamically processes your input, predicting next steps from your initial wording. Press Tab to accept suggestions and seamlessly complete your prompt. • Smart Context Analysis: The feature leverages natural language processing models to understand the structure and intent of your prompt, this ensures the suggestions remain precise and useful.

New Feature Live!🚨 Introducing Prompt Assist—a feature designed to streamline your prompt-writing experience with Alchemist AI. Prompt Assist integrates a speed-oriented AI model that analyzes your input as you write, offering contextually relevant suggestions in real-time. Here’s how it works: • Real-Time Suggestions: Prompt Assist dynamically processes your input, predicting next steps from your initial wording. Press Tab to accept suggestions and seamlessly complete your prompt. • Smart Context Analysis: The feature leverages natural language processing models to understand the structure and intent of your prompt, this ensures the suggestions remain precise and useful.

ALCHEMIST AI 🔮

37,892 次观看 • 1 年前

New open-source agent harness just landed! I got early access to TrueForge by TrueFoundry and have been running it locally for the past few days. The harness layer deserves as much attention as the model, and open source matters here because you can inspect the loop, run it on your own infrastructure, and swap to the latest or cheaper models. TrueForge handles the runtime work that makes an agent reliable. It drives the tool-calling loop, manages context, coordinates subagents, and executes code in a sandbox, with any model you choose. Every tool call re-sends the growing context to the model, so in practice the harness controls most of what an agent costs to run. A few things stood out from my testing and their published benchmarks. Vendor-Neutral by design. It runs OpenAI, Anthropic, and Google models alongside open-weight models like Kimi, GLM, and DeepSeek. Model routing is a setting, and you can send each task to the model that fits it. On a 14-task enterprise agent benchmark, it matched the accuracy of Claude Managed Agents running the same Opus 4.8 model at roughly 30% lower cost per run (3.8M tokens vs 10M for the same answers). Routing the same tasks to GLM-5.2 held accuracy and brought cost down by about 75%, around $3 per run instead of $12. Fully self-hosted and Open Source (MIT License). I had it running locally with one command, with sandboxed code execution working out of the box. It's time to own your agent harness. Thanks to TrueFoundry for partnering on this post.

New open-source agent harness just landed! I got early access to TrueForge by TrueFoundry and have been running it locally for the past few days. The harness layer deserves as much attention as the model, and open source matters here because you can inspect the loop, run it on your own infrastructure, and swap to the latest or cheaper models. TrueForge handles the runtime work that makes an agent reliable. It drives the tool-calling loop, manages context, coordinates subagents, and executes code in a sandbox, with any model you choose. Every tool call re-sends the growing context to the model, so in practice the harness controls most of what an agent costs to run. A few things stood out from my testing and their published benchmarks. Vendor-Neutral by design. It runs OpenAI, Anthropic, and Google models alongside open-weight models like Kimi, GLM, and DeepSeek. Model routing is a setting, and you can send each task to the model that fits it. On a 14-task enterprise agent benchmark, it matched the accuracy of Claude Managed Agents running the same Opus 4.8 model at roughly 30% lower cost per run (3.8M tokens vs 10M for the same answers). Routing the same tasks to GLM-5.2 held accuracy and brought cost down by about 75%, around $3 per run instead of $12. Fully self-hosted and Open Source (MIT License). I had it running locally with one command, with sandboxed code execution working out of the box. It's time to own your agent harness. Thanks to TrueFoundry for partnering on this post.

elvis

11,303 次观看 • 1 个月前