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What is inference.sh?
You are building something with AI. Maybe it is an agent that books meetings, a pipeline that generates product images, or a chatbot that needs to search the web and send emails. You have the model ca...
Building Your First Durable Agent
Most agent tutorials skip the hard part. They show you how to call an LLM, wire up a tool, and get a response. The agent works on your laptop with a stable connection and your full attention. Then you...
BYOK on inference.sh
Most AI platforms work the same way. You send a request, they run it on their compute, they bill you. Simple enough when you are prototyping. Less simple when your company already has six-figure cloud...
MCP on inference.sh
Model Context Protocol (MCP) has become the standard way for AI tools to talk to external services. Instead of each tool building its own integration layer, MCP provides a common protocol - a shared l...
Belt CLI
Most developer tools ask you to click through a dashboard, read docs for twenty minutes, and then figure out authentication before you run anything. Belt takes a different approach. Install it, log in...
250+ Tools, One API
If you are building an AI agent, a product that calls AI models, or any automation that touches more than one external service, you have a tool problem. Not a model problem. Models are getting good fa...
Skills vs Prompts
Every team working with AI agents has the same problem. Someone writes a good system prompt, pastes it into a CLAUDE.md or .cursorrules file, and it works. Then someone else needs it. They copy the fi...
GPT-OSS Safeguard 20B on inference.sh
Most teams building with LLMs skip safety checks entirely. Not because they don't care, but because the economics don't work. Running every user input and every model output through your primary LLM f...
Intellect 3 on inference.sh
The most interesting thing about Intellect 3 isn't what the model can do. It's the company that built it. Prime Intellect's mission is decentralized AI training - aggregating globally distributed comp...
GLM 4.6 on inference.sh
There is a particular kind of model release that makes me reconsider assumptions. Not the flashy "we beat GPT on every benchmark" announcements, which are a dime a dozen now, but the quieter ones wher...
Kimi K2 Thinking on inference.sh
Moonshot AI has been one of those companies that keeps showing up in interesting places. Founded in March 2023 by Yang Zhilin and fellow Tsinghua University classmates Zhou Xinyu and Wu Yuxin, they we...
MiniMax M2.5 on inference.sh
Most LLM conversations start with the same question: how smart is it? MiniMax M2.5 forces a different question, one that I think is more honest about where this industry is heading. The question is: w...
Gemini 3 Pro on inference.sh
Google has been iterating on the Gemini family at a pace that makes it hard to keep score. Gemini 3 Pro Preview is a flagship reasoning model from Google DeepMind, and it lands in a market that has go...
Claude Models on inference.sh
Anthropic's Claude family has become one of the most capable LLM lineups available, and for a lot of developers it's now the default choice for production agent systems. Four models span the full rang...
inference.sh Utility Toolkit
Every platform has its headline acts. The image generators, the video models, the LLMs with their increasingly impressive reasoning. Those get the blog posts and the Twitter threads. But behind every ...
Search and Extraction Tools on inference.sh
An AI agent that can't access the web is working from memory alone. It can reason about what it already knows, but it can't check whether that knowledge is still accurate, can't discover new informati...
X/Twitter Social Tools on inference.sh
Social media management has always been a pain point for software. The APIs shift, rate limits change, authentication flows get rewritten every couple of years. Building reliable Twitter integrations ...
Phota Personalized Image Generation on inference.sh
Personalized image generation is harder than it looks. Generic text-to-image models produce stunning results for abstract prompts, but the moment you ask for a specific person - your face, your partne...
Topaz AI Upscaling on inference.sh
Every creative professional hits the resolution wall eventually. You've got footage from three years ago shot at 1080p that now needs to fill a 4K timeline. Or an AI-generated image that looks stunnin...
Patina PBR Material Generation on inference.sh
If you have ever spent an afternoon hand-painting a normal map, or scrubbing through texture libraries looking for a weathered concrete that tiles without visible seams, you already know the problem P...
Imagine Art 1.5 Pro on inference.sh
The image generation market has reached a strange point. There are enough good models that the difference between them is often a matter of emphasis rather than capability. FLUX leans into customizati...
Reve Image Generation on inference.sh
The image generation space has more models than anyone can reasonably keep track of. Between FLUX, Gemini Flash, GPT Image 2, Seedream, Qwen, and all their variants, a working developer could spend a ...
Pruna Wan Models on inference.sh
There is a persistent tension in generative AI between what you want and what you can afford. Alibaba's Wan 2.7 models represent one end of that spectrum - genuinely impressive video and image generat...
Pruna P-Video Generation on inference.sh
There's a category of tool I reach for when the goal is volume over virtuosity. Pruna, a Munich-based startup specializing in model optimization through quantization, pruning, and distillation techniq...
Pruna Budget Image Generators on inference.sh
Somewhere between "free tier demo" and "production-ready creative tool" lives a category of image generator that nobody talks about with much enthusiasm but everybody uses. Pruna's budget lineup on in...
Pruna Qwen Image Generation on inference.sh
Alibaba's Qwen-Image foundation model - a 20B parameter MMDiT (multimodal diffusion transformer) - arrived with strong fundamentals: excellent text rendering, solid prompt comprehension, and that unmi...
Pruna P-Image Family on inference.sh
There's a particular category of tool that doesn't try to be the best at any one thing but instead covers the entire surface area well enough that you stop reaching for alternatives. Pruna AI - a Muni...
Grok Media Generation on inference.sh
Quietly, while everyone was busy debating which chatbot sounds most human, xAI built a media generation suite. Not just image generation - though that's where it started - but video synthesis, video e...
Video Effects and Lipsync on inference.sh
Video generation gets most of the attention. Text-to-video, image-to-video, the big foundation models competing on motion quality and temporal coherence. But there's a quieter category of tools that m...
OmniHuman Avatar Generation on inference.sh
There's a specific category of AI video that most people haven't thought carefully about yet: the audio-driven avatar. Not text-to-video, where you describe a scene and hope for the best. Not image-to...
Seedance 1.x Video Generation on inference.sh
ByteDance builds video models the way a car manufacturer builds trim levels. The Seedance 1.x Pro series is three models that share DNA but target different points on the speed-quality-cost triangle. ...
Wan 2.7 Image Generation on inference.sh
Alibaba's Tongyi Lab has been building image generation models for years, mostly for their own ecosystem. Wan 2.7 Image - released in April 2026 as the latest major upgrade to the Wanxiang series - is...
Wan 2.7 Video Generation on inference.sh
Alibaba's Wan 2.7, released in late March 2026 by the Tongyi Lab team, is not a single model. It's four distinct video generation tools that share a Diffusion Transformer architecture with Flow Matchi...
HappyHorse 1.0 Video Generation on inference.sh
HappyHorse 1.0 is not one model but four, and the distinction matters. Built by the Future Life Lab inside Alibaba's Taotian Group - a team led by Zhang Di, formerly VP of Kuaishou and head of Kling's...
Open-Source TTS on inference.sh
There's a conversation that happens in every project where synthetic speech comes up. Someone demos ElevenLabs, everyone agrees it sounds incredible, and then someone else opens a spreadsheet. If you'...
ElevenLabs Audio Suite on inference.sh
Most people know ElevenLabs for text-to-speech. Fair enough - their voice synthesis is genuinely best-in-class. But if you stop there, you're missing the larger story. Behind the TTS headline sits a f...
ElevenLabs Text to Speech on inference.sh
I remember the first time I heard ElevenLabs output and realized I'd been settling. Every other text-to-speech system I'd used before that moment suddenly sounded like what it was - a machine reading ...
Veo 3.1 Fast Video Generation on inference.sh
Google's Veo is the largest and most differentiated video generation family available today. Six models spanning three generations, from the original Veo 2 through the latest Veo 3.1 variants - each w...
Grok Imagine Image Pro on inference.sh
Every image generation model ships with a philosophy baked in. OpenAI's DALL-E leans cautious, Google's Imagen plays it safe, and Midjourney optimizes for aesthetic consistency above all else. Then th...
Qwen Image 2 Pro Generation on inference.sh
There's a weird gap in the image generation space that nobody talks about. Every model fights over who can render the most photorealistic portrait or the most fantastical landscape, and meanwhile, any...
Seedream 4.5 Image Generation on inference.sh
There's something distinctive about the images that come out of ByteDance's ecosystem. Scroll through Douyin for five minutes and you'll notice it - a particular sensitivity to color grading, an insti...
FLUX Dev LoRA Image Generation on inference.sh
There's a moment in every image generation project where the base model stops being enough. You've got FLUX Dev producing clean, coherent images from text prompts, but you need something more specific...
FLUX Dev Image Generation on inference.sh
There is a particular kind of tool that wins not by being the best at anything, but by being good enough at everything while costing almost nothing. FLUX Dev, the 12-billion parameter rectified flow t...
GPT Image 2 on inference.sh
OpenAI's image generation models have become a kind of baseline. When someone says "AI-generated image," there's a good chance the mental image they conjure looks like something DALL-E produced - clea...
Gemini 3 Pro Image Generation on inference.sh
Google's Gemini 3 Pro Image Preview - codenamed "Nano Banana Pro" and released in November 2025 - is the model you reach for when image quality matters more than speed or cost. It sits at the top of G...
Gemini 3.1 Flash Image Generation on inference.sh
Google's Gemini 3.1 Flash Image Preview - internally codenamed "Nano Banana 2" and released in February 2026 - has quietly become the most-used image generation model on inference.sh. Over 53,000 task...
P-Video-Avatar: The Fastest AI Talking Head Generator
The avatar video space has been stuck in an awkward spot. General-purpose video models like Veo 3 and Kling 3.0 produce beautiful cinematic output, but they were never designed for talking heads. They...
The Agent Harness Is a Shell
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Qwen-Image-2.0: Professional Infographics, Exquisite Photorealism
Alibaba just released Qwen-Image-2.0, and it redefines what image generation models can do with text. This is not another incremental improvement to text rendering - Qwen-Image-2.0 can generate comple...
Seedream 5 Lite: ByteDance's Smartest Image Generator
ByteDance just released Seedream 5.0 Lite, and it represents a significant leap in controllable image generation. This is not an incremental update to the Seedream line - it introduces web-connected r...
Nano Banana 2: Pro Quality at Flash Speed
Google just released Nano Banana 2, internally codenamed Gemini 3.1 Flash Image, and the AI image generation landscape shifted overnight. This is not a minor upgrade. Nano Banana 2 combines the advanc...
Seedance 2.0 Is Coming to inference.sh
ByteDance just dropped Seedance 2.0 and the internet lost its mind. Within hours of launch, clips of Superman fighting Darkseid, Tom Cruise trading punches with John Wick, and Stranger Things fan edit...
Agent Skills: The Open Standard for AI Capabilities
AI agents are increasingly powerful, but they often lack the context and procedural knowledge to do real work reliably. Anthropic recognized this gap and introduced Agent Skills - a simple, open forma...
Introducing ui.inference.sh
Search for "AI chat UI" and you'll find dozens of component libraries. They look promising - sleek message bubbles, typing indicators, file upload buttons. Install one and the reality sets in. These a...
Agent UX Patterns That Work
Users interacting with agents have different needs than users interacting with traditional software. Agents think, which takes time. Agents take actions, which carry consequences. Agents make mistakes...
Agents That Generate UI
The standard agent interface is text in, text out. Users type messages, agents respond with text. This works for many cases but ignores that some information is better conveyed through structured inte...
Client-Side Tools
Most agent tools run on servers. The agent requests an action, the server executes it, results return to the agent. But some operations need to happen where the user is - accessing local files, using ...
Building Custom Apps for Your Agents
Pre-built tools cover the common cases - web search, document processing, image generation, standard API integrations. But every organization has unique systems, proprietary APIs, and domain-specific ...
Workflows vs Agents: When to Use Each
Workflows are predetermined sequences; agents make runtime decisions. The distinction matters because most production AI systems need both. Explore the inference.sh runtime →
Building a Research Agent
Research tasks are among the best applications for AI agents. They involve gathering information from multiple sources, synthesizing findings, and producing structured output - exactly the kind of mul...
Tool Approval Gates
Approval gates put humans in control of consequential agent actions—allowing agents to propose while requiring confirmation before execution. See approval gates in action →
Sandboxed Code Execution for AI Agents
The most powerful agents can write and execute code. This capability transforms agents from systems that can only use predefined tools into general-purpose problem solvers. Need to analyze a dataset? ...
Real-Time Agent Streaming
Ten seconds with a blank screen feels like a minute. The same ten seconds with visible progress feels reasonable. Real-time streaming transforms perceived responsiveness by showing users what's happen...
Debugging AI Agents in Production
Something went wrong. A user reports unexpected behavior. An automated monitor fires an alert. A customer complains. You need to figure out what happened, why, and how to prevent it from happening aga...
Concurrent Agent Execution
Sequential execution is the default mode for most agent systems. The agent thinks, calls a tool, waits for the result, thinks again, calls another tool. Each step follows the previous in a linear chai...
When to Use Multi-Agent Systems
Multi-agent systems sound impressive. Multiple AI agents collaborating on complex problems, dividing work, combining expertise. The reality is that multi-agent architectures add substantial complexity...
The Real Cost of Agent Infrastructure
The visible costs of building agents (API fees, frameworks) are dwarfed by the hidden costs: state management, auth, observability, and the infrastructure to run reliably in production. See what the r...
Agent Memory That Actually Works
Every conversation with an agent that can't remember feels like starting over. Effective agent memory requires more than storing conversation history—it's about what to store, how to retrieve it, an...
From Demo to Production
Every agent starts as a demo. You prototype something, it works on your laptop, you show it to stakeholders, they are impressed. Then comes the question that changes everything: can we ship this? The ...
The Tool Integration Tax
An agent without tools is just a chatbot. Tools are what transform LLMs from conversation partners into systems that take action, retrieve information, and interact with the world. But every tool an a...
Built-In Agent Observability
Observability bolted onto agents after the fact creates gaps and adds complexity. Building it into the runtime from the start produces fundamentally better visibility with less effort. See built-in ob...
Hierarchical Agent Delegation
Multiple agents working together can accomplish more than a single agent working alone. The question is how to organize that collaboration. After watching many multi-agent systems succeed or fail, a c...
Human-in-the-Loop for AI Agents
Agents that take real action are powerful—and dangerous when they take the wrong action. Human-in-the-loop patterns keep humans in control of consequential decisions without sacrificing automation. ...
Durable Execution for AI Agents
When your agent crashes mid-task, does it lose all progress? Durable execution uses checkpoints to make agents resilient to failures, network issues, and process restarts. See durable execution in act...
Why Agent Runtimes Matter
A demo agent takes an afternoon to build. A production agent takes months of infrastructure work. The runtime layer handles durability, observability, and tool orchestration so you can focus on agent ...
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