Insights for AI builders
Tutorials, product updates, and ideas to help you build and ship AI applications faster.
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Breeze TTS 2: Specs, VRAM Needs, and Local Setup Guide
Breeze TTS 2's specs: sub-40ms latency, 12GB minimum VRAM, voice cloning and design features, and how to run it locally.
Breeze TTS 2: The Open-Weight TTS Model Topping the Leaderboard
Breeze TTS 2 is an open-weight text-to-speech model with sub-40ms latency, voice design, and a #1 spot on the Artificial Analysis leaderboard.
GLM-5.3-Flash: Specs, Benchmarks, and Running It Locally
GLM-5.3-Flash's 320B/18B-active MoE, hybrid attention, MIT license, and 1M context, benchmarked against Claude Opus 4.8 and tested locally.
GLM 5.3 Flash: Ox Alpha Stealth Model Revealed by ZAI
ZAI confirms Ox Alpha was GLM 5.3 Flash, a 320B MoE model given MIT weights after serving 44 trillion tokens in stealth testing.
GLM 5.3 Flash API Pricing: Cost Per Million Tokens Explained
GLM 5.3 Flash costs 15 cents per million input tokens, 50 cents output, and 3 cents cached input, undercutting Opus by a wide margin.
GMKtec EVO X3 vs EVO X2: Which Strix Halo Mini PC to Buy?
GMKtec EVO X2 vs EVO X3 compared on price, ports, and Oculink eGPU support to help you pick the right Strix Halo mini PC.
Hermes AI Agent Pricing: Managed Hosting vs VPS Costs Compared
Managed Hermes agent hosting starts at $6/month vs a VPS setup. Here's what each pricing tier actually includes and who should pick which.
How to Set Up a Managed Hermes AI Agent With Telegram
Set up a managed Hermes AI agent with Telegram and your ChatGPT subscription. No VPS, no Docker, no coding required, ready in minutes.
Nvidia eGPU on AMD Strix Halo: Oculink Setup and Real Speed Gains
How an Oculink port lets an Nvidia RTX GPU pair with AMD's Strix Halo APU in a mini PC, and what that actually does for local LLM speed.
Open Weights vs Closed Weights: Why Token Usage Is Flipping
Open-weight models now handle more AI tokens than closed models like GPT and Claude, yet closed labs still capture most of the revenue. Here's why.
Qwen3.8-Flash-Next: Inside the Qwen 4 Architecture Preview
Qwen3.8-Flash-Next previews Qwen 4's architecture: hybrid gated-delta and sparse attention, engram embeddings, 125B params, 6B active.
Retell AI Pricing, Free Tier, and How It Builds Voice Agents
How Retell AI's free tier, concurrency limits, and no-code builder work, based on a hands-on build of a phone-based AI voice agent.
How to Run Breeze TTS 2 Locally: GPU Requirements and Setup
Step-by-step guide to self-hosting Breeze TTS 2, covering GPU memory needs, Docker builds, and voice clone, design, and direction commands.
Run GLM 5.3 Flash Locally: VRAM, Quantization, and Hardware Needs
What it takes to run GLM 5.3 Flash locally, including quantization sizes, MoE architecture, and hardware like the new Mac Studio and mini PCs.
How to Run Qwen3.8-Flash-Next Locally with llama.cpp
A practical guide to downloading, quantizing, and serving Qwen3.8-Flash-Next locally with llama.cpp, covering VRAM needs on an H100 and quad 3090 rig.
Splitting a 122B MoE Model Across an Nvidia and AMD GPU with Vulkan
How to run a single 122B-parameter MoE model split across mismatched Nvidia and AMD GPUs using Vulkan and llama.cpp for local inference.
Build a Free AI Business Dashboard with ChatGPT Codex
How to build a personal AI dashboard with ChatGPT Codex, combining news, brand mentions, tasks, and newsletters into one control tower app.
How to Price AI Automation Retainers Without Losing Clients
A step-by-step guide to pricing AI automation retainers: diagnose real constraints, pick a KPI, and price against proven value, not guesswork.
How OpenAI and Anthropic Turn Compute Into Profit
A look at the revenue-per-megawatt math behind OpenAI and Anthropic's 2026 shift from venture-funded losses to real profitability.
How to Fine-Tune Qwen3 27B Locally: LoRA, QLoRA and GGUF Guide
Learn how to fine-tune Qwen3 27B on a single GPU using Unsloth, LoRA/QLoRA, and export to GGUF, with dataset creation steps included.
IBM Granite 4.2 3B vs 8B: Local Reasoning Model Tested
Hands-on test of IBM's Granite 4.2 3B and 8B models locally, checking VRAM use, tool calling, and reasoning on real prompts.
How to Run IBM Granite 4.2 Locally with vLLM
Download and serve IBM's Granite 4.2 models locally with vLLM. VRAM needs and setup steps for the 3B, 8B and 30B reasoning variants.
Legora: How a YC-Rejected Legal AI Startup Hit $100M ARR
Legora went from a Y Combinator rejection to $100M ARR in two years. Here's the funding, culture, and product story behind the legal AI startup.
How Much VRAM Do You Actually Need for Local AI in 2026?
How much VRAM local AI actually needs in 2026, from 24GB cards to 512GB Mac Studios, and why quantization changes the math on every build.