ChatGPT Ads: What Changes When the Search Box Talks Back
ChatGPT Ads target conversation context, not keywords. Here's what OpenAI confirmed, what's speculated, and how GEO content prepares you for both.
Blog
Custom Blocks in Obsidian: The Scribe Block
Obsidian doesn't have custom blocks, so I faked it with a code fence, a hidden div, and two features that actually make it useful.
RTX 5090 Local AI ROI: GPU Cluster vs. API TCO Analysis
An RTX 5090 cluster breaks even against DeepSeek API costs at 450M tokens of inference, providing a 14-month ROI for high-volume developers.
Voice Transcription Market: Current State and the Missing Piece
Voice transcription in 2026: who ships what (Monologue, Wispr Flow, Hey Lemon), what builders use (Whisper, AssemblyAI), and why fragmentation and lock-in are the real problem.
DIY Local Voice Assistant: Building a Raspberry Pi 5 AI Device
How to build a private, fully local voice assistant on Raspberry Pi 5 using Python and Whisper for on-device speech processing and LLM inference.
Launch Platform ROI: Data on Product Hunt, HN, and AppSumo
Actual traffic and conversion data for Product Hunt, Hacker News, and AppSumo — including the 10% featured rate and specific ROI math for indie makers.
LFM2.5-1.2B on Raspberry Pi 5: llama.cpp Optimization Guide
Optimizing llama.cpp for LFM2.5-1.2B on a Raspberry Pi 5. Recommended settings for quantization, threads, and KV cache to maximize local LLM performance.
Raspberry Pi 5 Local Voice Assistant: A Whisper and Liquid LFM AI Stack
Build a private AI voice assistant on Raspberry Pi 5 with Whisper and Liquid LFM2.5. Includes memory budgets, hardware setup, and Python code.
Deep Research: Exa.ai vs Other Providers
Embedding deep research in a note app with Exa.ai. I built a 5-phase enrichment pipeline, then simplified to Exa with a light review step.
GEO: The New Rules of Search Visibility
AI search engines don't rank pages — they cite sources. Here's what actually works for getting cited by ChatGPT, Perplexity, Claude, and Google AI Overview.
Handling Chain-of-Thought for GPT-OSS-120b: Harmony Format and Provider Quirks
GPT-OSS-120b uses OpenAI's Harmony token protocol — analysis, commentary, and final channels. Here's how we handle CoT leakage and provider routing.
Workspace vs Document Assistant: Why You Need Both
The best work happens when conversation stays continuous. Document-localized chat gives the workspace assistant richer context — here's how we architected it.
LFM2.5-1.2B vs LFM2-2.6B: Why We Chose the Smaller Model
Benchmarking Liquid AI's LFM2.5-1.2B against LFM2-2.6B on a Pi 5 — the smaller model scores higher on IFEval (+9), runs 2.3x faster, and fits in under 1GB.
Why We Stopped Forcing One Model to Do Everything
We built a Reasoner-Planner-Solver pipeline for a Pi 5 voice assistant, then replaced it with Instruct/Thinking model routing. Here's why simpler won.
Ditching Exa AI for Self-Hosted Search
Replacing Exa AI with self-hosted SearXNG and trafilatura on a Raspberry Pi — fully local web search in 2-3 seconds, no API keys, no data leaving the device.
From 78% to 97%: Making a 1.2B Model Actually Work
Three tricks that took a 1.2B model's tool routing from 78% to 97% — renaming tools, adding a calibration line, and a regex post-processor.
One Model, Three Roles: How a 1.2B Model Plays Reasoner, Planner, and Solver
One 1.2B model plays Reasoner, Planner, and Solver with different system prompts on a Raspberry Pi 5. Three LLM calls, 15-30 seconds for a reasoning task.
When to Stop Adding Rules: Building a Negation-Aware Sanitizer Without Overfitting
I kept adding regex patterns to fix edge cases until I realized I was overfitting a rule-based system — here's the framework for knowing when to stop
Thinking Without Thinking Models
How I got multi-step reasoning working on a Raspberry Pi 5 with a 1.2B model — no thinking model needed. ReWOO cuts it to 2 LLM calls and 80% fewer tokens.
The Instruction Gap: When AI Starts Building Its Own Systems
We want AI to work autonomously, but letting it write its own playbook creates a new kind of technical debt.