---
title: "Discussion on \"What 30 Days of Writing About Agentic AI Taught Us \" | Hashnode"
description: "Discussion on \"What 30 Days of Writing About Agentic AI Taught Us \". Nine articles, five lessons: what building AI agents for real customer conversations taught us about handoffs, memory, governance, and omnichannel automation. (152 characters)"
url: "https://hashnode.com/posts/what-30-days-of-writing-about-agentic-ai-taught-us/6ad9e3c9f93d625a6775104d"
---

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# [What 30 Days of Writing About Agentic AI Taught Us](https://agenticplaybook.hashnode.dev/what-30-days-of-writing-about-agentic-ai-taught-us?utm_source=hashnode&utm_medium=feed)

Nine articles, five lessons: what building AI agents for real customer conversations taught us about handoffs, memory, governance, and omnichannel automation. (152 characters)

Oct 22 · 8 min read · agenticplaybook.hashnode.dev  
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## Written by

[BotSailor](https://hashnode.com/@botsailor)

@botsailor · Bangladesh

  
[View profile](https://hashnode.com/@botsailor)

Building the infrastructure for omnichannel automation. Insights on APIs, webhooks, and scaling AI-driven customer journeys.

We write about multi-agent systems, agentic AI, and omnichannel automation, the architecture decisions behind them, where they break in production, and what actually changes for teams running support, sales, and ops through them. We built BotSailor, where we help businesses run WhatsApp, Instagram, Telegram, and Messenger automation from one place so most of what we write comes from things we've actually shipped, broken, and fixed, not just trend-watching. Currently publishing two series here: Multi-Agent Systems, Practically and Agentic AI in Production. If you're building with agents, orchestration, or omnichannel automation, we'd genuinely like to hear what you're running into, drop it in the comments or reply to any post.

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