Agentic Blueprints 131
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AI Speech Trainer
A multimodal coaching team that reviews recorded speech — delivery, structure, and content — and returns practice feedback.
Multi-Agent Researcher
A compact research team — searcher, analyst, writer — that turns a question into a structured research write-up.
Magentic-One
Microsoft's generalist five-agent team: an orchestrator directing a web surfer, file surfer, coder, and terminal to solve open-ended tasks.
Selector Group Chat
An LLM selector reads the conversation and picks which agent speaks next — planner, searcher, or analyst — instead of a fixed turn order.
Distributed Group Chat
A writer and an editor collaborate in a group chat where every agent runs in a separate distributed runtime, talking over gRPC.
Handoffs (AutoGen pattern)
Swarm-style handoffs in AutoGen: triage, sales, and refund agents transfer the conversation to whoever should own it next.
Concurrent Agents (AutoGen pattern)
Fan a task out to multiple agents at once and gather their results — AutoGen's minimal parallel pattern.
AI Recruitment Agent Team
A recruiting pipeline in agents: resume analysis, candidate evaluation against the role, and interview scheduling roles working together.
AI Competitor Intelligence Team
Discovers competitor sites, crawls and extracts their positioning, and compares everything into a competitive-intelligence report.
Trust-Gated Agent Team
A team where agents carry trust scores and actions are gated by them, with a hash-chained audit trail of every decision.
Reflection (AutoGen pattern)
A coder agent and a reviewer agent in a critique loop: code, review, revise, until the reviewer approves.
AI SEO Audit Team
Agents audit a site's SEO — technical health, content, and competitive position — and compile the findings into an action plan.
AI Services Agency
An agency of role agents — CEO, CTO, product, developer — that takes a software project brief and plans it like a firm would.
Plan-and-Execute (LangGraph tutorial)
The original plan-and-execute notebook: a planner writes the step list, an executor works through it, and a replanner revises as results come in.
USACO Competitive Programming Agent
Solves olympiad programming problems with episodic retrieval of similar solved problems plus a reflect-and-retry execution loop.
Hierarchical Agent Teams
A supervisor of supervisors: a top-level orchestrator directs a research team and a document-writing team, each with its own internal supervisor.
LATS (Language Agent Tree Search)
Monte-Carlo tree search over agent actions: generate candidates, reflect and score them, expand the best branches until one solves the task.
Reflection (LangGraph tutorial)
The essay-writing reflection loop: a generator drafts, a reflector critiques as a teacher grading, and the loop repeats a fixed number of rounds.
Reflexion
An answerer that critiques itself with citations: draft, self-review for missing and superfluous content, search to fill gaps, revise.
Info-Gathering Chatbot
A chatbot that keeps asking until it has every requirement, then switches modes and generates the deliverable from what it gathered.
Swarm Triage Agent
The minimal handoff example: a triage agent routes each request to a sales agent or a refunds agent and gets out of the way.
Multi-Agent Collaboration
A researcher agent and a chart-generator agent divide a task and route work between themselves until the answer is a finished chart.