AI
- ai
How to Choose an Agent Runtime for Real-World AI Workflows
A practical guide to choosing an agent runtime: evaluate execution boundaries, workflow fit, MCP compatibility, artifact handling, and when you need a capability runtime.
- ai
How to Generate Video with Claude Code: Add the Capability Runtime, Not More Tool Sprawl
Claude Code can code, but it cannot generate video on its own. Here’s how to add the missing capability runtime with AnyCap instead of managing more tool sprawl across separate video APIs and MCP servers.
- ai
What Is a Capability Runtime? The Missing Layer in AI Agent Architecture
AI agents can plan, reason, and write code. But give them a task that requires web search, image generation, or file storage — and they get stuck. A capability runtime fixes this. Learn the architecture, why 2026 made this category necessary, and how it compares to MCP and Skills.
- ai
MCP vs Skills vs Capability Runtime: Stop Treating These as the Same Layer
MCP, skills, and capability runtimes are not competing ideas. They solve different layers of the agent stack: protocol, instruction, and execution. Here’s how they actually fit together.
- ai
MCP Servers vs Capability Runtimes: Where the Protocol Ends and the Real Agent Layer Begins
MCP is the protocol layer. A capability runtime is the execution layer your agent uses for search, media, storage, and publishing. Here’s where each fits — and where teams confuse them.
- ai
AnyCap vs Building Your Own MCP Server: When You Need a Capability Runtime, Not More Glue Code
MCP is a protocol, not your whole capability strategy. Compare AnyCap’s capability runtime with building your own MCP servers for media, search, storage, and publishing.
- ai
AI Workflow Automation: How to Build an Agentic Pipeline That Searches, Analyzes, and Acts
Most agent tutorials stop at text generation. Real work needs pipelines — search, research, analyze, visualize, publish. Here's a complete CLI-based pattern that your coding agent can actually run.
- ai
One CLI, Five Capabilities: Why Bundled Agent Runtimes Win
One CLI, one credential, five capabilities: image generation, video, web search, cloud storage, and publishing. How a bundled capability runtime eliminates the configuration tax for AI coding agents.
- ai
What Is an Agent Runtime? The Architecture Layer Behind Real-World AI Agents
Learn what an agent runtime is, how it differs from MCP, frameworks, and skills, and how to evaluate the layer that lets AI agents execute real-world workflows.
- ai
How to Use DeepSeek V4 in AnyCap Workflows: API Setup, Self-Hosting, and 1M Context
Learn how to use DeepSeek V4 in AnyCap workflows with API setup, self-hosting options, and 1M-context guidance for agent teams.
- ai
Choosing DeepSeek V4 in AnyCap: Strengths, Limits, and Best-Fit Workflows
Understand when DeepSeek V4 fits an AnyCap workflow, where it falls short, and how to add search, media, and publishing capabilities.
- ai
Claude Code Agent SDK: The Missing Capability Layer Most Developers Forget
The Claude Code Agent SDK gives you the agent loop, not the full capability layer. Learn how the SDK works, where it stops, and how AnyCap adds live search, media generation, storage, and publishing.
- ai
How I Installed Claude Code — Then Turned It Into a Real-World Agent With AnyCap
I installed Claude Code for coding, then realized I still needed search, media, storage, and publishing. Here’s the setup that turned it into a real-world agent with AnyCap on Mac, Linux, and WSL.
- ai
Claude Code Could Code. What I Needed Was a Stronger Agent CLI
Claude Code handled code, but I still needed search, images, video, storage, and publishing. Here’s why I stopped thinking in MCP servers and started using a stronger agent CLI with AnyCap.
- ai
Nano Banana Pro: The Google Image Editor That Fixes Your Background Without Touching Your Product
Nano Banana Pro applies targeted AI image edits — change backgrounds, lighting, layouts — while keeping your product or subject intact. No designer required.
- ai
Sora 2 Pro: OpenAI's Most Capable Video Model — What Your Agent Can Build With It Right Now
Sora 2 Pro is OpenAI's answer to Google's Veo 3.1. We compare both video models on quality, workflow fit, and when to use each — including CLI examples for agents.
- ai
Suno V5: How to Turn Any Text Prompt Into a Complete AI Song (With Vocals)
Suno V5 turns text prompts into full AI songs with vocals — any genre, complete arrangement. Available via AnyCap. Here's how developers and agents use it in production workflows.
- ai
Seedream 5: Why This Is the Default Image Model for AI Agents in 2026
Seedream 5 generates stunning AI images at ~2 credits per shot. We tested it against Midjourney, FLUX, and GPT Image 2 — here's what developers should know.
- ai
Kling 3.0: Is Kuaishou's Cinematic Video Model the Best-Looking AI Footage Available to Agents?
Kling 3.0 generates 15-second realistic AI video vs Veo 3.1's 8-second cinematic quality. We compare both — and tell you exactly which one to pick for your workflow.
- ai
Claude Opus 4.8 + AnyCap: 7 Workflow Patterns for Media-Heavy Agent Tasks (2026)
Claude Opus 4.8 is Anthropic's strongest reasoning agent. Pair it with AnyCap and the same terminal session generates images, video, and music. 7 proven workflow patterns, setup guide, and real CLI examples.