Latest Posts
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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 · en-US -
Seedance 1.5 Pro: Complete Guide for AI Developers
Everything developers need to know about Seedance 1.5 Pro: what changed from 1.0, API access, camera controls, and integration into AI agent workflows.
ai · en-US -
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 · en-US -
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 · en-US -
Why Coding Agents Need a Runtime
Coding agents can reason and edit code, but many workflows still break at search, media, storage, and publishing. Here’s why they need a runtime layer.
ai · en-US -
Agent Runtime Evaluation Checklist for AI Teams
Use this practical checklist to evaluate an agent runtime by workflow completion, artifact handling, reliability, and execution coherence.
ai · en-US -
Agentic Workflows vs Traditional Automation
Learn when to use agentic workflows and when traditional automation is the cleaner choice, especially once work spans search, generation, storage, and delivery.
ai · en-US -
AI Automation Services: Why You Don't Need an Agency (And What Your Coding Agent Can Do Instead)
AI automation agencies charge $5K-$50K for workflows your coding agent can run for $0.30 in API credits. Here's how to replace the agency with five agent capabilities.
ai · en-US -
AI-Powered Data Analysis in 2026: From Static Dashboards to Agentic Analytics
Dashboards tell you what happened. Agentic analytics tells you why — the agent investigates anomalies across your database and the live web, autonomously. Here's the three-level architecture.
ai · en-US -
ChatGPT Deep Research vs AnyCap: Which One Should Your AI Agent Use?
ChatGPT Deep Research writes impressive reports but has no API. AnyCap research runs in your agent's terminal and outputs structured JSON. Practical comparison for developers who need agent-callable research.
ai · en-US -
Google AI Search for Developers: What Every Agent Builder Needs to Know in 2026
AI Overviews, Grounding API, Vertex AI Search — Google has shipped more AI search features than any other platform. Developer guide to what's available, how they differ, and what your agent can actually call.
ai · en-US -
Competitive Monitoring with AI Agents: Build a Cron Job That Watches Your Competitors
Competitor monitoring used to mean 2 manual hours every Monday. An AI agent with web search does it in minutes, automatically. Here's the workflow, the CLI commands, and how to set it up today.
ai · en-US -
Deep Research APIs Compared 2026: Pricing, Latency, and Output Quality for AI Agents
Perplexity, Google, OpenAI all ship deep research — but only one has a CLI your agent can call and JSON your pipeline can parse. Here's the 2026 developer comparison of deep research APIs.
ai · en-US -
GPT Image 2 for Developers: Pricing, API Access, Strengths, and Best Use Cases
A practical developer guide to GPT Image 2: what it does well, how API access works, pricing trade-offs, and when it beats other image generation models.
blog · en-US -
Is GPT-5.5 Worth It? Benchmarks, Pricing, Best Use Cases, and Workflow Trade-Offs
A practical decision guide to GPT-5.5 in 2026: benchmarks, pricing, context window, best use cases, and when you need more than a standalone model endpoint.
blog · en-US -
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 · en-US -
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 · en-US -
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 · en-US -
Agentic Workflows: What They Are and How to Build Them (2026)
Agentic workflows give AI agents a goal and let them figure out the steps — unlike traditional automation that breaks when something unexpected happens. Covers ReAct, Plan-Execute, multi-agent patterns, LangGraph, CrewAI, and AnyCap tool integration.
blog · en-US -
Nano Banana 2: The Google Image Model Built for Agents That Need 50 Variants, Not 1
Need 50 image variants fast? Nano Banana 2 is Google's speed-first image model. Here's how to use it for batch generation, A/B testing, and content pipelines.
blog · en-US