Practical lessons from running AI agents in production. No theory. No fluff.
Sales, marketing, customer service, email, HR, and finance — pick your department and get the full setup guide with architectures, costs, and quickstarts.
Build a production AI agent with Gemini. 2M context window, Google Search grounding, multimodal (video+audio), and the cheapest option at $0.075/1M tokens.
Build a production AI agent with GPT-4. Chat Completions vs Assistants API, function calling, structured outputs, o1/o3 reasoning, and honest cost breakdown.
Build a production-ready AI agent with Claude. Tool use, memory systems, the 3-file framework, extended thinking, MCP, and real code from someone who runs Claude agents 24/7.
Build Discord AI agents for Q&A, smart moderation, onboarding, engagement tracking, and support tickets. Discord.js code, slash commands, and 6 tools compared.
Build AI calendar agents for natural language scheduling, email-triggered bookings, meeting prep briefs, focus time protection, and week optimization. Google Calendar API code included.
Build AI sales agents that score leads, draft personalized follow-ups, enrich CRM data, forecast revenue, and clean your pipeline. HubSpot API code and 8 tools compared.
Build AI agents that clean messy data, generate complex formulas from English, create automated reports, and detect anomalies. Google Sheets API code and 7 tools compared.
Build AI agents that review PRs, generate summaries, triage issues, scan for security vulnerabilities, and auto-generate changelogs. Complete GitHub Actions workflow included.
Build AI email agents that triage your inbox, draft context-aware replies, track follow-ups, and extract action items. Gmail API code, safety rules, and 8 tools compared.
Build AI agents that manage your Notion workspace — auto-enrich databases, answer questions across all pages, generate content, and keep your workspace organized. Complete code with Notion API.
Build AI Slack agents that answer questions from your docs, triage support tickets, run async standups, and automate workflows. 6 agent types with Bolt.js code and architecture.
Build AI research agents that search 200M+ papers, extract structured data, synthesize findings, and monitor new publications. 5-layer architecture with production Python code.
Complete guide to securing AI agents in production. 7 defense layers, prompt injection prevention, tool permission boundaries, data exfiltration prevention, and monitoring. Production Python code included.
Complete guide to AI agent memory systems. Build conversation buffers, fact stores, semantic memory, and self-organizing knowledge graphs. 5 architectures with production Python code.
Step-by-step tutorial to build an MCP server from scratch. Create custom tools for AI agents with TypeScript, connect to Claude Desktop, and deploy to production. Full code included.
Deploy AI agents that stay running. Docker, cloud platforms, monitoring, scaling patterns, CI/CD pipelines, and the 7 production mistakes that kill most AI agent projects.
Connect AI agents to any API — Slack, Stripe, Jira, CRMs. Production patterns for function calling, authentication, error handling, and the 3-layer integration architecture that scales.
Build AI agents that talk. Complete guide to voice AI — STT/LLM/TTS pipelines, platform comparisons (Vapi, Bland, Retell), production code, outbound campaigns, and the 7 mistakes that kill voice agent projects.
Ship agents that actually work. 4-layer testing framework — tool tests, behavior evals, trajectory validation, and production monitoring. With code, CI/CD pipelines, and the LLM-as-Judge pattern.
Build AI agents that know your data. Complete guide to RAG architecture — chunking strategies, vector databases, hybrid search, reranking, and 5 advanced patterns with production code.
Agentic AI explained in plain English. The 4 levels of AI autonomy, how agentic systems work under the hood, real-world use cases, the tech stack, and a 60-minute quickstart to build your first agent.
Stop automating tasks, start automating workflows. Build AI agents that handle multi-step business processes — lead nurturing, invoice processing, content pipelines — with production code, state management, and monitoring patterns.
ChatGPT doesn't know your calendar. Siri doesn't know your priorities. Build a personal AI agent with real memory, real tools, and real context about your life — with a 60-minute quickstart.
RPA follows scripts. AI agents think. Both automate work — but they're built for fundamentally different problems. Complete breakdown with real scenarios, cost comparison, decision framework, and the hybrid approach that actually works.
Build a production-ready AI agent from scratch with ~200 lines of Python. Tool system, memory, error handling, scheduling, deployment — no framework needed. Copy-paste code that actually works.
The complete playbook for starting a profitable AI agent business — 5 business models, pricing strategies ($2K-$15K/project), finding your first 5 clients, tech stack, delivery process, and a 90-day launch plan from someone who's done it.
Build a 4-agent social media stack that creates content, schedules posts, manages engagement, and tracks analytics — across X, LinkedIn, and Instagram. Full system prompts, n8n workflows, and 60-minute quickstart.
Honest comparison of 8 AI agent frameworks with real production experience. Code examples, pros/cons, cost analysis, and a decision framework to pick the right one for your use case.
Deploy AI agents at every startup stage — from solo founder to Series A. Customer support, lead qualification, content engines, and finance agents. Full system prompts, tool stacks, and ROI calculator.
Build teams of specialized AI agents that collaborate on complex tasks. 4 architecture patterns, orchestrator prompts, shared memory, full CrewAI example, and 60-minute quickstart.
Build AI agents that clean data, generate reports, surface anomalies, and answer questions in plain English. Complete guide with NLQ prompts, anomaly detection, and tool stack.
Build AI agents for intelligent booking, dynamic revenue management, concierge AI, operations coordination, and loyalty intelligence. From boutique hotels to chains.
Build AI agents for estimation automation, schedule optimization, safety monitoring, quality control, and document management. From small contractors to large GCs.
Build AI agents for claims processing, underwriting, fraud detection, policy servicing, and customer retention. From agencies to carriers with production-ready prompts.
Build AI agents for predictive maintenance, quality control, production scheduling, supply chain optimization, and safety compliance. From job shops to large plants.
Build AI agents for personalized tutoring, automated grading, adaptive curriculum, student engagement, and school administration. Socratic tutoring prompts and early warning systems.
Build AI agents for client intake, legal research, contract review, document drafting, and compliance monitoring. Ethics-first approach with production prompts for firms of any size.
Build AI agents for lead qualification, property matching, listing generation, CMA reports, and client nurturing. 5-layer architecture with production prompts for agents and brokerages.
Build AI agents for patient intake, scheduling, clinical documentation, symptom triage, and post-visit follow-up. HIPAA-compliant prompts and 3-week implementation roadmap.
Build AI agents for route optimization, warehouse operations, demand forecasting, fleet management, and shipment tracking. 5-layer architecture with production prompts for fleets of any size.
Build AI agents that handle product recommendations, dynamic pricing, inventory management, customer support, and cart recovery. 5-layer architecture with production prompts.
Build AI content agents with a 5-layer architecture — research, brand voice writing, multi-format repurposing, editorial QC, and automated publishing. Production prompts included.
Build an AI agent that manages projects autonomously — task extraction from meetings, progress tracking, risk detection, resource optimization, and auto-generated reports.
Build AI agents that process invoices, reconcile books, generate financial reports, and maintain audit trails. Complete guide with 4-layer architecture, tools, and prompts.
Build AI agents that screen resumes, schedule interviews, onboard new hires, and answer employee questions. Complete guide with architecture, tools, and prompts.
Build AI marketing agents that create content, optimize ads, and analyze campaigns automatically. 5-layer architecture with tools, prompts, and real cost breakdowns.
Build an AI email agent that triages, drafts, and follows up automatically — while keeping you in control. Complete 5-layer architecture with tools and prompts.
Build an AI sales agent that responds in under 2 minutes, qualifies prospects automatically, and books meetings — while sounding like a real person.
You don't need to code to build an AI agent. Step-by-step guide to creating a working email triage agent in under 90 minutes using no-code tools.
No-code builders, developer frameworks, enterprise tools, and DIY options — compared honestly with real pricing, pros/cons, and a decision matrix.
Deploy an AI agent that actually resolves customer issues — not just deflects them. 5-layer architecture, week-by-week setup, and real ROI numbers.
Your AI agent says it's working. But is it? The 7 monitoring metrics that actually matter, plus a real dashboard setup to track health, quality, and ROI.
Single-task AI agents are a waste. Learn the 5 workflow patterns that save 20+ hours per week — with real examples you can copy today.
Your AI agent reads your emails, accesses your CRM, and calls APIs. Here's the 4-layer security model we use to lock them down without killing productivity.
Your AI agent is only as smart as the data you feed it. Here's the practical guide to connecting SOPs, docs, emails, and databases — safely, incrementally, and without hallucinations.
Everyone talks about AI agents saving time. Nobody talks about what they cost. We break down the actual API fees, hosting, tools, and time — with real production numbers.
Most automation advice is written for enterprises. This is the 5-step playbook for solopreneurs and small teams — with real examples, ROI math, and a 30-day challenge.
Forget the enterprise hype. These are automations solopreneurs and small teams can actually build — most of them this week. We run all of these ourselves.
90% of system prompts fail because they're either too vague or too rigid. Here's the framework for prompts that make AI agents reliable — with real production examples.
Everyone's talking about AI agents, but most can't send an email. MCP — the "USB-C of AI" — changes that. Here's what it is, why it matters, and how to use it.
Interactive calculator + 4-metric framework to measure time saved, revenue generated, and cost per task. Stop guessing, start measuring.
Not a chatbot. Not a toy. An actual AI team member that remembers your business, works autonomously, and gets things done. Here's exactly how.
We made all these mistakes so you don't have to. The 7 most common AI agent pitfalls — from no memory to runaway costs — and how to avoid them.
The cron-based autonomy pattern, cost control math, monitoring setup, and state management — everything you need for always-on AI agents.
Cut through the hype. Here are the AI agent tools that actually work for solopreneurs and small teams — tested in production, not just demos.
Skip the theory. Skip the hype. Here's exactly how to build an AI agent that works autonomously — from someone running 4 of them in production.
Your AI agent is brilliant for 5 minutes. Then you close the tab and it forgets everything. Here's the MEMORY.md pattern that fixes this permanently.
Everyone uses these terms interchangeably. They shouldn't. The distinction changes how you build, what you expect, and whether your AI actually delivers value.
Three text files. No code. No complex setup. Just the system that powers our 4 production AI agents every single day.
Everyone's building "AI agents" now. Most of them are chatbots with a fancy wrapper. Here's how to tell the difference — and what to do about it.
Weekly field notes on building AI agents that work. No hype.
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