The Agent Loop, Explained: Plan, Act, Observe, Evaluate
An AI agent isn't one clever answer. It's a loop: plan, act, observe, evaluate. Watch the agent loop run as an interactive machine you can step through.
Guides and deep dives on building, running and improving AI agents — architectures, skills and the practical craft.
An AI agent isn't one clever answer. It's a loop: plan, act, observe, evaluate. Watch the agent loop run as an interactive machine you can step through.
AI agent business ideas for 2026, sorted by how they get paid, with verified adoption, token-cost and cancellation data, and a 20-job test before you price.
A practical guide to AI agents for small business: ten everyday bottlenecks agents can take off an owner's plate, what each costs to run, where to keep a human, and what adoption data says.
How AI agents actually work, step by step: the model, the tool loop, memory, stopping conditions and the harness that makes it safe, with sources from Anthropic, OpenAI and the ReAct paper.
The best AI agent platforms in 2026 for building and running agents: AGNT, n8n, Dust, Lindy, Gumloop, Relevance AI, Microsoft Copilot Studio, Zapier, Make, Dify and more.
The best free AI agents in 2026, and what "free" really means for each: open-source licence, free tier limits, and the model bill you still pay. Honest picks with sources.
The best MCP clients in 2026 compared: Claude, ChatGPT, VS Code, Cursor, Codex, Gemini CLI, LM Studio, Goose, Cline, AGNT and more, by transport, local-model support and cost.
The best Ollama GUIs and front ends in 2026: Open WebUI, AnythingLLM, LibreChat, Lobe Chat, Msty, Cherry Studio, Chatbox, Enchanted, Page Assist, AGNT and more, compared.
The best OpenClaw alternatives in 2026, sorted by why you are leaving: security isolation, a lighter footprint, zero setup, a visual workflow canvas or team features. With sources.
The best personal AI agents in 2026 compared honestly: OpenClaw, Hermes Agent, Meta Muse, Vellum, Claude, Lindy, AGNT and more, with where each runs and what it costs.
100 practical AI automation ideas with triggers, actions, outputs, human checkpoints, build components, effort, and risk.
100 AI agent tools grouped by capability, with each tool’s function, agent use case, constraint, and direct first-party source.
100 Claude Code skills and skill-bearing plugins, verified against Anthropic docs and public repos, with install and security notes.
100 MCP servers grouped by job, with direct source links, selection advice, setup examples, and security notes for AI agents.
100 copyable AI agent prompt templates with required inputs, output contracts, tool rules, stop conditions, and failure checks.
75 AI agent use cases with autonomy loops, tools, human controls, failure modes, risk tiers, and cited deployed examples.
50 AI agent frameworks compared by language, orchestration model, best fit, limits, deployment style, and primary documentation.
50 local and self-hosted AI agents compared by execution, model, storage, telemetry, platform, license, and practical limits.
50 open-source and source-available AI agents compared by license, deployment, capabilities, fit, limits, and source access.
A comprehensive, research-backed guide to the 100 most powerful AI agent skills across 12 categories — from coding and design to security, finance, and full-stack automation. Curated from 5,200+ community skills, GitHub repositories, enterprise deployments, and expert sources.
From single-agent loops to multi-agent orchestration — a deep dive into every architecture pattern powering today's most capable AI systems.
A technical guide to designing and deploying autonomous AI agents using the AGNT API, covering endpoint integration, architecture patterns, and real-world implementation.
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