Build Your Own AI Agent Fleet
A production-grade guide to designing, building, deploying, and managing autonomous AI agents — based on systems processing thousands of tasks in production today.
From Zero to Production
$67–$127
One-time purchase. Includes future updates and code templates.
What's Inside
Agent Architecture
Design patterns for autonomous agents — LLM core, tool integration, memory systems, and scheduling. Based on real production systems.
LLM Selection & Configuration
Choosing the right model for your agents. Cost comparison across providers, API setup, prompt engineering for reliable agent behavior.
Tool Design & Integration
Building tools your agents can use — API wrappers, web scrapers, data processors, and external service connectors. With working code examples.
Docker Deployment
Production-ready Docker setup with compose files, environment management, logging, and health checks. Copy-paste templates included.
Cost Optimisation
Running agents cheaply at scale — provider arbitrage, caching strategies, rate limit management, and monitoring spend in real-time.
Use Cases & Templates
Ready-to-deploy agent templates: content agents, research agents, monitoring agents, and data pipeline agents. Customise for your needs.
Who Is This For?
- Developers who want to build autonomous AI systems beyond simple chatbots
- Founders looking to automate content, research, or data pipelines with AI
- Technical marketers who want AI agents for monitoring and content generation
- Anyone who wants to understand how production AI agent systems actually work
Explore AI Agent Tools
Browse the AI agent tools featured in this guide.
Frequently Asked Questions
Basic Python or JavaScript knowledge is helpful, but the guide includes copy-paste code examples and Docker templates. If you can follow a tutorial, you can deploy agents.
We cover OpenAI (GPT-4), Anthropic (Claude), OpenRouter (multi-provider), and self-hosted options like Ollama. The cost optimisation chapter compares pricing across all major providers.
It depends on usage. A content agent publishing 5-8 posts per day can run for $5-15/month on cheap providers via OpenRouter. The guide shows how to keep costs minimal while maintaining quality.
The primary deployment method uses Docker on any VPS ($5-10/month). We also cover serverless options using Vercel Cron and cloud functions for lighter workloads.
Yes. The architecture and patterns are based on agents running in production today — processing thousands of tasks monthly. This isn't theoretical — it's battle-tested.
Want Us to Build It for You?
Don't have the time or technical bandwidth? We design, build, and deploy custom AI agent systems for businesses — from customer support bots to fully autonomous content and research pipelines.
- Custom agent architecture designed for your specific workflows
- Full deployment on your infrastructure with Docker + monitoring
- LLM provider setup, prompt engineering, and cost optimisation
- 30 days of post-launch support and iteration
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