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agents

AI agents at work

An AI agent is only useful when it can act on real work with real guardrails: a scoped role, the right permissions, durable memory, and a human approval gate where it matters. Without that frame, “agentic” mostly means an unsupervised script with a chat interface.

These guides cover how to define agent roles, how to give agents the context they need without giving away the workspace, and how documentation becomes the memory that makes agents reliable over time.

Read the agents guide in the docs
Claude Fable 5 vs Opus 5: which model should your AI agents use?
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Claude Fable 5 vs Opus 5: which model should your AI agents use?

Fable 5 or Opus 5? Choose by mission difficulty and cost per successful task — not by putting Anthropic’s strongest model everywhere.

10 min read
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GPT-5.6 Sol, Terra, and Luna: which OpenAI model should your AI agents use?
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GPT-5.6 Sol, Terra, and Luna: which OpenAI model should your AI agents use?

Sol, Terra, or Luna? Pick GPT-5.6 by mission difficulty, volume, and cost per successful task — not by putting the strongest model everywhere.

9 min read
MCP vs REST API: which architecture should you choose for AI agents?
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MCP vs REST API: which architecture should you choose for AI agents?

MCP or REST API for an AI agent? Choose based on who picks the operation: the code, the model, or both in a hybrid architecture.

10 min read
AI agent, AI workflow, or automation: which should you choose in 2026?
aiagentsautomationsguide

AI agent, AI workflow, or automation: which should you choose in 2026?

Choose between automation, an AI workflow, an agentic workflow, and a bounded autonomous agent based on who picks the next step, cost, latency, and risk.

13 min read
AI Model Fusion: Why the Future Is Not One Model, but a Multi-Agent Architecture
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AI Model Fusion: Why the Future Is Not One Model, but a Multi-Agent Architecture

AI model fusion: multi-agent pipelines combine several models, then compare and judge their answers to deliver a more robust result than a single model alone.

14 min read
The Future of AI Agents Is Orchestration, Not Intelligence
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The Future of AI Agents Is Orchestration, Not Intelligence

Claude Fable 5, GPT-5.5 and Gemini show the AI race is shifting from smarter models to agent orchestration, memory and execution.

24 min read
AI Scrum Master: What It Can Do and What It Cannot
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AI Scrum Master: What It Can Do and What It Cannot

An AI scrum master can prepare planning, standups, dependency checks, scope alerts, and retros while team protection stays human and accountable.

9 min read