Giving Ollama a Mouth, Ears, and a 3.5-Inch Screen: Building a Voice-First Pocket Terminal AI with Coni & Whisper

Sun, 11 Oct 2026 15:20:00 +0900

Let’s take a look at the state of conversational AI today.

If you want to talk to an LLM, the tech industry usually insists you follow one of two paths:

Open a web browser, load a 250MB single-page JavaScript application, agree to eight privacy policies, and hand your credit card to an API that bills you $0.03 for every syllable.
Install an Electron desktop app that devours 1.8 GB of RAM before it even finishes rendering its animated microphone widget.

Whatever happened to small, dedicated, delightful computing devices? The kind of hardware gadgets you pick up with one hand, tap a button, talk to, and get an instant, unfiltered answer—without corporate telemetry or subscriptions?

Who Watches the Watchers? Meet Cops: Zero-Overhead Fleet Monitoring in Pure Coni

Sun, 11 Oct 2026 14:00:00 +0900

Let’s be honest about the state of server monitoring in 2026.

If you read the standard DevOps playbooks, monitoring your personal machines or homelab requires a technological sacrifice:

Deploy Prometheus (and pray its TSDB doesn’t eat your RAM alive).
Install Node Exporter as a daemon on every single target machine.
Configure Grafana (because what is life without 47 nested JSON dashboards and a 500ms dashboard refresh lag?).
Spin up Alertmanager, configure Webhooks, and set up a reverse proxy with TLS certificates.

Before you know it, you are running 4 GB of RAM and 12 background processes just to monitor a fleet of machines that were mostly idling at 3% CPU anyway. You have spent more compute resources watching your servers than the servers spend doing actual work.

Tailscale on NicoLabs

Giving Ollama a Mouth, Ears, and a 3.5-Inch Screen: Building a Voice-First Pocket Terminal AI with Coni & Whisper

Who Watches the Watchers? Meet Cops: Zero-Overhead Fleet Monitoring in Pure Coni