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What I think about AI agents
Honest articles on real pricing, mistakes, and cases where an AI agent actually pays back. No academia — only practice.
LangGraph vs LangChain: when to use which
LangGraph vs LangChain without the hype: what the real difference is, when to pick LangChain, when to pick LangGraph, and how to combine them — with a short code example.
Read →LangGraph: a multi-agent system by example
A LangGraph multi-agent example, built in stages: a supervisor routes to a researcher and a writer agent over shared state. Real Python per stage, plus an honest take on when it is overkill.
Read →LangGraph in production: when it beats the vanilla SDK
LangGraph in production explained: a minimal StateGraph tutorial, an honest langgraph vs openai sdk comparison, and exactly where the graph earns its keep.
Read →n8n vs Zapier vs Make: choosing in 2026
n8n vs Zapier vs Make — honest 2026 comparison of three no-code automation platforms: pricing model, self-hosting, complex branching, data privacy.
Read →AI automation in CRM: 7 processes to offload
AI automation in CRM: 7 sales processes an agent handles instead of your reps. Lead qualification, call summaries, follow-up drafts, smart routing.
Read →OpenAI vs Claude vs Hermes for AI agents
GPT-5 vs Claude Opus 4.7 vs Hermes 4 for production AI agents: long context, tool use, latency, price and EU/UA compliance, with clear per-use-case picks.
Read →5 signs your business isn't ready for an AI agent
Most AI agent projects fail because the business is not ready, not the model. 5 honest disqualifiers — and what to fix first before spending a dollar.
Read →How long does it take to build an AI agent
Honest 6-10 week timeline for a production AI agent: week-by-week breakdown of discovery, MVP, integration, hardening — and what actually slows projects down.
Read →Telegram bot vs AI agent: why they are different
A scripted Telegram bot and an AI agent in Telegram look identical from outside — and behave completely differently. Where each one wins, with real examples.
Read →What is a multi-agent system
Multi-agent systems explained: orchestrator + specialist agents, shared memory, real examples (sales, research, ops) and the stack — LangGraph, Swarm, custom.
Read →How much does an AI agent cost in 2026
What an AI agent really costs in 2026: simple bot vs custom build vs multi-agent system, what drives the price, and where the hidden costs actually hide.
Read →AI agent vs Zapier: when custom wins
Zapier and n8n vs custom AI agents — honest comparison table, 5 red flags it's time to switch. Concrete examples from production.
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