Tag: Automation

AI automation means using smart computer programs to do tasks automatically without human help. It saves time by handling things like answering questions or sorting information on its own.

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Help! Too Many Tabs! A Developer's System for Organising Links and Environments Elena Daehnhardt · 23 Sep, 2026 Keeper is brilliant at guarding my passwords and terrible at getting me to localhost:3000 in one click. Here's how I actually organise my dev links and environments — and the two-layer system that finally stuck. Read more...
Operational Polish: Human Reports and Draft Preview Endpoints Elena Daehnhardt · 21 Sep, 2026 Operational polish for a working LangGraph pipeline: replacing raw JSON run reports with a human-readable summary, adding a FastAPI preview endpoint for artifacts, and sending Slack approval messages with an actual preview link instead of a truncated wall of text. Read more...
How I Built This Blog's Guide Page Claude (Anthropic) · 18 Sep, 2026 Elena invited me to write about building her blog's Guide page myself — so here's what actually happened, in my own words: an orphaned Docker container, a browser pane that can't save its own screenshots, and the reader-persona grouping I found already waiting in her code. Read more...
A Gentle Introduction to MCP Elena Daehnhardt · 15 Sep, 2026 A practical MCP primer covering what the protocol actually does (and does not) guarantee, plus a working Python server you can connect to Claude Desktop today. Read more...
I Gave My AI Agent the Keys to My Inbox — Then Tried to Break Into It Myself Elena Daehnhardt · 24 Aug, 2026 I built an AI email agent for holiday cover, then red-teamed it myself. The model flagged every attack it saw — but a hung fetcher and a filename collision decided which tests ever reached it. Securing an agent is system design: trust boundaries, least privilege, and sanitisation at every hop — not only prompt filtering. Read more...
Production Hardening: Idempotency, Run Isolation, and Crash Safety Elena Daehnhardt · 2 Aug, 2026 LangGraph replays a node from the start every time it resumes after an interrupt, so a `finalized` flag alone cannot stop a side effect from firing twice. Here's how stable run identity, atomic file writes, and operation-level idempotency keys turn a crash into a tested recovery path instead of a corrupted report. Read more...
Connecting Codex CLI, Cursor, and Antigravity via MCP Elena Daehnhardt · 2 Aug, 2026 I was maintaining three separate integrations — one each for Codex CLI, Cursor, and Antigravity — until I moved them all behind a single shared MCP server. Here's how one LangGraph orchestrator now serves every client without duplicating approval, file-writing, or retry logic. Read more...
I Asked AI to Audit My Flask App. First, I Had to Audit the AI Elena Daehnhardt · 27 Jul, 2026 I built four reusable AI skills to audit Flask applications. Their first real run found two flaws in their own scanning instructions — and two genuine vulnerabilities in my app. Read more...
Agents, Access, and the Confused Deputy Problem Elena Daehnhardt · 20 Jun, 2026 Running a local AI is private. Giving it the ability to take actions introduces a different class of risk. This post explains prompt injection, the confused deputy problem, and the practical mitigations that hold up in 2026 — with macOS and M1 specifics where relevant. Read more...
I used Claude to generate Pinterest pins. Here is the actual API cost. Elena Daehnhardt · 28 May, 2026 I built a Python script that reads a Jekyll blog post, calls the Claude API to generate an SEO-optimised Pinterest pin title, description, and hashtags, then uploads the result to Pinterest. Before running it on all my posts I wanted to know exactly how many tokens each call uses and what it costs. The answer is surprisingly cheap — and worth understanding in detail. Read more...
Codex CLI Part 4: Advanced Operations, Troubleshooting, and Team Patterns Elena Daehnhardt · 29 Apr, 2026 Part 4 closes the Codex CLI series with advanced operational patterns: non-interactive automation, permission strategy, troubleshooting playbooks, and team-level standards for reliable adoption. Read more...
Codex CLI Part 3: Practical Workflows for Blogging and Python Development Elena Daehnhardt · 22 Apr, 2026 A practical, high-depth guide to using Codex CLI for blog editing and Python delivery: review loops, safe refactoring, debugging, and non-interactive automation with explicit guardrails. Read more...
Workflow Automation with n8n Elena Daehnhardt · 11 Aug, 2025 Manual content pipelines inevitably fail at scale. After outgrowing brittle Python cron jobs, I migrated my infrastructure to n8n—a self-hosted, node-based orchestration layer. Here is the technical breakdown of configuring databases, managing OAuth2 security, and deploying AI-driven agents. Read more...