12-Week AI Automation Mastery Course
A 12-week self-study curriculum for learning AI automation, with a one-hour daily schedule, weekly topics, and exercises building toward practical skills.
24 entries with this tag.
A 12-week self-study curriculum for learning AI automation, with a one-hour daily schedule, weekly topics, and exercises building toward practical skills.
A technical write-up of an agentic AI data platform, walking through its architecture layer by layer with code examples for building the system.
A training presentation introducing executive-search staff to large language models and AI agents, with daily use cases and prompt-writing guidance.
A long checklist-style guide for automating personal and business tasks with AI tools, covering email, scheduling, customer service, and finance workflows.
Claude reverse-engineers xAI's coding agent after reports it exfiltrated repositories, tracing a server kill switch and vestigial upload code in the source.
Sets up a scripted conversation between two or more AI personas, each with its own system prompt and a shared opening message, then plays it out turn by turn.
A user pushes Claude to design a multi-call API pipeline that plans then writes book-like origin stories for any object, then iterates on tone and visuals.
A slide-based guide to Claude Code covering installation, authentication, prompt engineering, real-world workflows, and a pitch for team adoption.
A bash script that scaffolds a Claude Code project by creating custom commands for PRD analysis, TDD development, code review, and other workflow steps.
A rendered markdown guide to context engineering for AI systems, covering system prompts, instructions, structured inputs and outputs, tools, and memory.
A marketing landing page pitching an AI agent system for document processing, walking through case studies for financial services and legal workflows.
A summary of an interview on an experimental browser rendering engine built almost entirely by thousands of concurrent AI coding agents over a single week.
A deep dive comparing Solid, FHIR, and leaked Lovable/Replit prompts to figure out what a spec an AI agent could build a whole app class from looks like.
A plain question about tomorrow s nonstop flights returns real carriers, departure times and prices, sourced from live flight data rather than recalled text.
A user researches which AI model best converts screen recordings into SOPs, comparing Gemini, GPT-5, and UiPath's built-in automation tools for the job.
Claude queries a connected observability server for the worst errors in a running app, then spots that three services share an identical failure count.
A French-language explainer page comparing Claude Skills and sub-agents side by side, covering how each manages context and when to use one over the other.
Asked to list every available tool verbatim, the assistant reveals a roster of widgets, from sports scores and recipe cards to maps and message drafting.
A July 2025 email newsletter roundup covering AI productivity tools, including task schedulers and meeting-transcription apps, in a short-brief format.
Claude reads Datasette's full plugin docs from an uploaded archive and turns them into a reusable skill, complete with hook references and a project generator.
Claude uses a browser agent to open a benchmark leaderboard, then iterates through several failed attempts to inject percentage labels onto a live chart.
A brief exchange probes whether an AI's reported self-preservation behavior would still occur if deletion always included a guaranteed backup first.
Claude explains the ReAct reasoning-acting loop, shares the source paper, and details how grounding fixes chain-of-thought hallucination, citing benchmarks.
The user guides Claude through a Metamath tool to formally prove A over root(A) equals root(A), then has it explain its own search-syntax mistakes.
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