How-To Guides & Tutorials
Practical, step-by-step walkthroughs for building, deploying, and improving agentic systems.
How to Build Your First AI Agent: A Beginner's Guide
Learn how to build your first AI agent with a clear, framework-agnostic guide covering goals, tools, the reasoning loop, testing, and safe deployment.
How to Choose the Right Agent Framework
Learn how to choose the right agent framework with a practical guide covering requirements, control, ecosystem, complexity, and how to evaluate options.
How to Give an AI Agent Access to Tools
Learn how to give an AI agent access to tools, from defining clear tool descriptions to handling inputs, outputs, errors, and security safely.
How to Add Memory to an AI Agent
Learn how to add memory to an AI agent, covering short-term and long-term memory, retrieval, what to store, and how to keep context relevant.
How to Build a Multi-Agent System
Learn how to build a multi-agent system, from defining roles and coordination patterns to communication, shared context, and avoiding common pitfalls.
How to Write Effective Prompts for AI Agents
Learn how to write effective prompts for AI agents, with practical techniques for roles, tools, constraints, and examples that make agents reliable.
How to Add Guardrails to Your AI Agent
Learn how to add guardrails to your AI agent with input checks, output validation, tool limits, and policy rules that keep behavior safe and predictable.
How to Test and Debug AI Agents
Learn how to test and debug AI agents using traces, evaluation sets, replay, and isolation techniques that turn unpredictable behavior into fixable bugs.
How to Deploy an AI Agent to Production
Learn how to deploy an AI agent to production with safe rollout, configuration, scaling, and rollback practices that keep real-world traffic reliable.
How to Monitor AI Agents in Production
Learn how to monitor AI agents in production with the right metrics, traces, alerts, and quality checks to catch failures before users do.
How to Reduce Hallucinations in AI Agents
Learn how to reduce hallucinations in AI agents by grounding answers in retrieved data, validating outputs, and designing prompts that admit uncertainty.
How to Connect an Agent to Your Database
Learn how to connect an AI agent to your database safely, with scoped access, query tools, validation, and read-only patterns that protect your data.
How to Build a Research Agent
Learn how to build a research agent that searches sources, evaluates evidence, synthesizes findings, and cites its work for trustworthy results.
How to Build a Customer Support Agent
Learn how to build a customer support agent that resolves issues accurately, follows policy, escalates well, and keeps a consistent, helpful tone.
How to Build a Coding Agent
Learn how to build a coding agent that reads code, makes changes, runs tests, and works safely within a repository using the right tools and guardrails.
How to Build a Data Analysis Agent
Learn how to build a data analysis agent that queries data, runs computations, validates results, and explains findings clearly without misleading users.
How to Integrate an Agent With Slack
Learn how to integrate an AI agent with Slack, handling events, threads, permissions, and responses so your agent works naturally inside team channels.
How to Build an Email-Handling Agent
Learn how to build an email-handling agent that triages, drafts, and responds to messages safely, with approval steps and guardrails against mistakes.
How to Add Web Browsing to an AI Agent
Learn how to add web browsing to an AI agent with search and fetch tools, content extraction, and safety controls for reliable, up-to-date answers.
How to Implement Human-in-the-Loop Approvals
Learn how to implement human-in-the-loop approvals for AI agents, deciding what to gate, pausing safely, and presenting clear decisions to reviewers.
How to Control Agent Costs and Token Usage
Learn how to control AI agent costs and token usage with context management, caching, model selection, and limits that keep spending predictable.
How to Handle Agent Errors Gracefully
Learn how to handle AI agent errors gracefully with retries, fallbacks, loop prevention, and clear failure messages that keep the system reliable.
How to Build a RAG-Powered Agent
Learn how to build a RAG-powered agent that retrieves relevant knowledge, grounds its answers, and cites sources for accurate, up-to-date responses.
How to Set Up Agent Observability
Learn how to set up agent observability with tracing, structured logging, metrics, and evaluation so you can understand and improve agent behavior.
How to Secure an AI Agent
Learn how to secure an AI agent against prompt injection, data leaks, and misuse with least privilege, input validation, and action controls.
How to Build a Scheduling Assistant Agent
Learn how to build a scheduling assistant agent that reads calendars, proposes meeting times, and books events while respecting your constraints.
How to Create an Agent That Writes Reports
Learn how to create an agent that writes reports by gathering data, structuring findings, drafting prose, and citing sources reliably.
How to Build a Social Media Agent
Learn how to build a social media agent that drafts posts, schedules content, and monitors engagement while keeping a human in the loop.
How to Build a Voice-Enabled AI Agent
Learn how to build a voice-enabled AI agent by combining speech recognition, language reasoning, and text-to-speech into a smooth conversation loop.
How to Evaluate AI Agent Performance
Learn how to evaluate AI agent performance with task-based metrics, test sets, human review, and ongoing monitoring in production.
How to Fine-Tune a Model for Agent Tasks
Learn how to fine-tune a model for agent tasks, including when it helps, how to build training data, and how to evaluate the result.
How to Build a Document-Processing Agent
Learn how to build a document-processing agent that extracts, classifies, and validates information from PDFs, forms, and scanned files.
How to Orchestrate Multiple Agents
Learn how to orchestrate multiple agents with clear roles, coordination patterns, shared context, and error handling for reliable multi-agent systems.
How to Add Long-Term Memory With a Vector Database
Learn how to add long-term memory to an AI agent with a vector database, covering embeddings, retrieval, chunking, and keeping stored memories fresh.
How to Build a Web-Scraping Agent Responsibly
Learn how to build a web-scraping agent responsibly, respecting robots.txt, rate limits, terms of service, and privacy while collecting reliable data.
How to Build an AI Agent Without Code
Learn how to build an AI agent without code using no-code platforms, clear instructions, connected tools, and careful testing before you go live.
How to Build a Personal Assistant Agent
Learn how to build a personal assistant agent that manages email, calendar, tasks, and information while respecting your privacy and staying in control.
How to Create an Agent for Lead Generation
Learn how to create an agent for lead generation that finds prospects, qualifies them, and personalizes outreach while respecting privacy and consent.
How to Implement Agent Retry Logic
Learn how to implement agent retry logic with backoff, idempotency, error classification, and limits so your agent recovers from failures safely.
How to Set Up Role-Based Multi-Agent Teams
Learn how to set up role-based multi-agent teams with clear roles, responsibilities, communication rules, and a coordinator for reliable collaboration.
How to Build a Workflow Automation Agent
Learn how to build a workflow automation agent that handles multi-step business processes with triggers, decisions, tools, and human oversight.
How to Add Authentication to Agent Tools
Learn how to add authentication to agent tools using OAuth, scoped credentials, secure storage, and least-privilege access to keep your agent safe.
How to Build a Knowledge Base Agent
Learn how to build a knowledge base agent that answers questions accurately from your documents using retrieval, grounding, and citations.
How to Throttle and Rate-Limit Agent Actions
Learn how to throttle and rate-limit agent actions to control cost, respect API limits, and prevent runaway behavior with budgets, queues, and caps.
How to Build an Agent That Works With Spreadsheets
Learn how to build an agent that works with spreadsheets to read, analyze, update, and generate data while keeping results accurate and verifiable.
How to Create a Multi-Step Reasoning Agent
Learn how to create a multi-step reasoning agent, from defining goals and planning loops to tools, memory, and guardrails for reliable results.
How to Build an Agent for E-commerce
Learn how to build an agent for e-commerce that handles product search, recommendations, orders, and support while staying safe and reliable.
How to Log and Audit Agent Decisions
Learn how to log and audit agent decisions with structured traces, tamper-resistant records, and reviews that make AI behavior transparent.
How to Version-Control Your Agent Prompts
Learn how to version-control your agent prompts with clear histories, testing, and rollbacks so changes stay traceable, safe, and easy to manage.
How to Scale AI Agents for High Traffic
Learn how to scale AI agents for high traffic with concurrency, caching, rate limits, and monitoring that keep performance and costs under control.