Writing

A Packing List That Became a Model

A Swamp model that turns a few trip details into a categorized packing list, previews before it touches Todoist, and asks before it commits.

Locking Hermes in the Swamp

I wanted Hermes to stop improvising and start reusing the models and workflows we had already built. The setup was short. Proving it worked took wrong homes, hidden errors, a broken registry, and one extension Hermes finally published and ran through Discord.

The Spreadsheet Stayed Home

Tracking meal expenses on a work trip by chatting with an agent from an elevator, and why the ledger lives in a Swamp model instead of a spreadsheet or a note.

The Swamp Between Recording and Review

Twenty cameras can see a lot, but the useful footage is scattered across views right when I don't have time to click through a timeline. Swamp lets an agent take the first export pass so review can happen later, from a real screen.

The Update Button Needed a Second Opinion

UniFi update notifications are satisfying to clear—until the hardware you depend on turns an ordinary firmware update into a troubleshooting project. Swamp gave mine a second opinion first.

The Alert Loop That Came Home

A two-sentence Discord prompt at a rest stop became a route-risk watch, then a quiet home safety system — and a lesson in keeping an agent from over-publishing what it builds.

The Agent That Keeps the Receipts

A benchmark can show a model is fast. A structured agent record can show whether it actually earns a place in the workflow.

The Fear of the Lord in an Age of AI

AI can assist with many kinds of work, but it cannot take the place of Christian wisdom, conscience, responsibility, prayer, or worship.

The Market Is Not the Temple

Christians should take AI’s moral pressures seriously without confusing ordinary use of a tool with worshipful allegiance.

Where Benchmarks Are Prophecies

Benchmarks can show us something real, but they cannot carry the weight of prophecy; the truer test is what a model does in the work in front of us.

Capture Debt

I spent a few minutes prompting Hermes during a homeschool conference, and the automation made me more engaged, not less.

Local Agents Are Not Toys

Local LLMs on the M5 Max have become useful for bounded agent work, but they are not Amp or Claude killers yet.

Throwing Hermes into the Swamp

Hermes and Swamp finally worked once I stopped chasing install ownership and fixed the session snapshot that every tool subprocess sources.

Agents Make Homelab Alerts Boring

A Frigate storage alert became a small example of why agents and Swamp are working so well in my homelab: bounded context, reviewable changes, and asynchronous fixes that preserve headspace.

An Offline Meeting Transcriber Built on Swamp

I built an offline meeting transcriber using local Whisper, pyannote, and Ollama, then migrated it to swamp — the same typed models now power my terminal, my agent, and a future watch-folder, without copy-pasting a script.

Visibility Into the Black Box

I built an AI pipeline that ships production code to a ten-year-old Rails monolith about 90% of the time. But when it fails, or when I change something and want to know if it helped, I'm guessing. Three days of migrating to swamp gave me structured data for every decision the pipeline makes.

Review: Wild and Glorious

A pastoral and practical take on AI from a Christian perspective — wise, winsome, and well-timed.

Code Proven to Work

Two things resonated from Simon Willison's post on agent-written code: owning the output regardless of who wrote it, and working code — not artisanal craft — as the real deliverable.

The Theory-Building Problem

Claude Code handled complex tasks well in plan mode, but using it through a cooldown left me with quick solutions and a shaky mental model — until a post on Naur crystallized why.

Earning $60 in One Minute

A quick tip on how to maximize your Southwest Rapid Rewards points with minimal effort.

Saving Money on Cell Phone Plans

Stop overpaying for your cell phone plan. There are plenty of MVNOs that offer the same service for a fraction of the cost.

Meagerfindings?

What is Meagerfindings and why did I start this blog?