AI Agent Guides & Workflow Tutorials

Practical, step-by-step instructions for getting real recurring work done with an AI assistant - without touching code, servers, or workflow builders.

  1. 171
    Guide Grok 4.5 PowerPoint Plugin, Explained

    What the Grok 4.5 PowerPoint and Office plugin actually does in your deck, its real limits, and when an AI agent that builds the whole file wins instead.

    July 9, 2026
  2. 172
    Guide Self-Improving Coding Agents: A Non-Builder Guide

    Self-improving coding agents don't safely upgrade themselves on every run. What actually improves, how to verify it, and where human review still belongs.

    July 9, 2026 · 9 min read
  3. 173
    Guide Ornith-1.0 Explained: Self-Scaffolding AI Workflows

    Ornith-1.0 explained for AI workflow readers: what self-scaffolding means, how to read its benchmark claims, and which risks to verify before adopting.

    July 8, 2026 · 7 min read
  4. 174
    Guide Skill Zoo: Reusable Agent Skills for AI Workflows

    Skill Zoo explained: why AI workflows need reusable agent skills with stable instructions, a repeatable process, tool boundaries, and reviewable output.

    July 8, 2026 · 7 min read
  5. 175
    Guide AI Agent Evaluation Before You Scale

    AI agent evaluation before scaling: use six evidence gates, three verification levels, and four release decisions to grow capability without growing risk.

    July 8, 2026 · 13 min read
  6. 176
    Guide AI Agent Security Risks: 7 to Fix First

    The AI agent security risks to fix before production: prompt injection, excessive permissions, unsafe tools, data leakage, runaway automation, first controls.

    July 8, 2026 · 10 min read
  7. 177
    Guide AI Agent Orchestration: Design Guide

    AI agent orchestration coordinates agents, tools, evidence, and people toward one outcome. Learn when it helps, how to set boundaries, and when you overbuild.

    July 8, 2026 · 11 min read
  8. 178
    Guide TRAE Work Guardrails: Permissions and Review

    TRAE Work guardrails explained: how execution AI workflows use read-only defaults, MCP allowlists, permission levels, audit logs, and human review.

    July 8, 2026 · 7 min read
  9. 179
    Guide TRAE Work Skills and MCP: How Execution AI Works

    TRAE Work MCP explains how skills define repeatable work while MCP sets the tools and data an execution AI workspace can safely reach and review.

    July 3, 2026 · 10 min read
  10. 180
    Guide GPT-5.6 and Subagents: Agent Workflow Design

    GPT-5.6 Ultra is a timely lens for how subagents, task splitting, review, and handoff shape reliable, complex AI agent workflows you can actually trust.

    July 3, 2026 · 9 min read