#ai-automation

2026-06-09 · 8 min read

Automate LinkedIn Outreach Messages Using AI and Python

Cold messages fail for a simple reason. They're not actually cold — they're warm in theory and cold in execution. You've researched the person, found something interesting, written what you think is a relevant opener. Then you send the same structure to 150 people and wonder why three reply. The bottleneck is drafting. Personalization takes time: reading a profile, finding a hook, writing an opener that references it, keeping the message short enough that someone actually reads it. Ten minutes per person, 200 people, do the math.

2026-06-08 · 7 min read

Build a YouTube Video Summarizer with Python and Whisper API

Three hours of conference talk. You have 20 minutes. The usual move is 2x speed, aggressive skipping, and hoping the important bits weren't in the sections you blew past. There's a better option: a script that downloads the audio, transcribes it, and hands it to Claude with a prompt that extracts exactly what you care about. This tutorial builds that. You'll need Python 3.10+, an OpenAI API key for Whisper transcription, and an Anthropic API key for the summarization step. The whole thing ships as a single CLI script.

2026-06-07 · 8 min read

Automating Email Triage and Responses with Python and OpenAI

Forty-seven unread emails by 9 a.m. Twelve are urgent. Eight need a response you've written a hundred times. The rest are noise you'll archive without reading — if you ever get to them. This tutorial builds an email triage pipeline: classify incoming emails by urgency and category, generate context-aware draft responses for the routine ones, and flag the rest for human review. You'll need Python 3.10+, an OpenAI API key, and `openai` installed.

2026-06-06 · 9 min read

Build a Slack Bot That Answers Questions from Your Internal Docs [Part 2]

If you ran the bot from Part 1, you probably hit the timeout within the first few minutes. Someone typed `/ask`, got "This app didn't respond in time" in red, and trust died a little. Claude was still thinking. Part 1 treated the Slack app as a prerequisite — configured and ready. This part actually builds it. We'll create the app in the Slack dashboard, wire both tokens, fix the timeout with background threading, format answers with Block Kit so they look like a real bot response instead of a text dump, and add a `/reindex` command so the docs stay current without restarting the process. You'll need the code from Part 1 and a Slack workspace where you have permission to install apps.

2026-06-06 · 9 min read

Build a Slack Bot That Answers Questions from Your Internal Docs [Part 1]

The onboarding doc says the API key lives in the shared vault. The runbook says check the Confluence page. The Confluence page links to a Notion doc that was last edited two years ago. Every new team member goes through this. It's annoying, and it's solvable.

2026-06-05 · 8 min read

Web Scraping + AI: Turning Raw HTML into Structured Data with Python

The HTML you get back from most websites is not what you want. It's what the browser needs — event listeners, tracking scripts, cookie banners, seventeen nested `<div>` containers, and somewhere buried in all that, the three fields you actually care about.