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Tutorials, product updates, and ideas to help you build and ship AI applications faster.
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How to Run Agnes-3.0-Flash Preview Locally: Hardware Requirements
Agnes-3.0-Flash Preview needs an H100 or H200 GPU and about 66GB disk space. Here's how to set it up with SGLang or Transformers.
Agnes-3.0-Flash Preview: The Open-Weight Model, Explained
Agnes-3.0-Flash Preview is a 33B open-weight hybrid-attention model with 262K context, vision input, and tool calling. Here's what it actually is.
How to Build a 24/7 AI Software Factory With GPT-6 Astra
A step-by-step guide to deploying a self-hosted autonomous coding harness that turns GitHub issues into validated pull requests using GPT-6 Astra.
Why Is Claude Opus 5 Getting Bad Reviews Despite Top Benchmarks?
Opus 5 tops Anthropic's benchmark charts but developers call it verbose and over-engineered. Here's the gap between scores and real coding work.
Did Anthropic Secretly Nerf Claude Code? The Real Timeline
Anthropic quietly lowered Claude Code's reasoning effort and hit cache bugs that degraded output for weeks. Here's what actually happened.
Claude Opus 5 Pricing vs GPT-5.6, Grok 4.6, and Gemini 3.7
Opus 5 runs $5/$25 per million tokens, well above GPT-5.6, Grok 4.6, and Gemini 3.7 Flash. Here's the full price comparison and what it costs you.
DeepSeek-V4.1-Flash: How 890-Byte KV Cache Compression Works
DeepSeek-V4.1-Flash compresses KV cache to 890 bytes/token via a Causal Encoder-Decoder design. Full benchmarks vs GPT-5.6, Opus 5, K3, GLM-5.3.
Edge0-35B Benchmarks: What 4-bit Quantization Really Costs You
Edge0-35B-A3B's int4 pipeline scores 3.9 points below its fp16 base across five benchmarks. Here's what that gap means in practice.
GPT-6 Astra vs Fable 5.1: A Week of Head-to-Head Testing
A week of hands-on coding and reasoning tests pits GPT-6 Astra against Fable 5.1. Here's what actually separates the two models.
How to Improve Outbound Sales Reply Rates: 8 Founder Tips
A YC partner's eight tactics for boosting cold email and LinkedIn reply rates, covering targeting, messaging, LinkedIn profiles, and follow-ups.
NeoHorse-1-4B: How to Run This Self-Improving 4B Model Locally
NeoHorse-1-4B trains on router decision logs to improve itself. Here's how to install and run this 4B open model locally with vLLM.
Recursive Self-Improvement Training: How NeoHorse-1-4B Learns From Itself
NeoHorse-1-4B trains on live router decision logs instead of static datasets. Here's how its recursive self-improvement loop actually works.
Nex-N2.5 Benchmarks vs Claude Opus 5, GPT-5.6, and Kimi K3
Nex-N2.5-Pro and Max benchmark scores on SWE-Bench Pro, OSWorld, and BrowseComp, compared against Claude Opus 5, GPT-5.6, and Kimi K3.
How to Self-Host Nex-N2.5 with SGLang and Docker
A hands-on guide to self-hosting Nex-N2.5-mini, Pro, and Max using Docker and SGLang, with GPU requirements for each model size.
Qwen-Drive-1.0-4B Tested: One Model to See and Drive, Still Contradicts Itself
Qwen-Drive-1.0-4B fuses perception and planning into one vision-language model. A hands-on test shows strong benchmarks but a real self-contradiction.
Let an AI Agent Customize Your Mac or Windows Desktop, Safely
A practical guide to giving AI agents scoped control over your existing Mac or Windows setup using Aerospace, Shortcuts, and PowerToys.
ChatGPT Images 2.5 and Astra: Automate a Full Design Workflow
How ChatGPT Images 2.5 and GPT-5 Astra chain together across Canva, Dropbox and a print service to turn one prompt into a finished poster.
ChatGPT Images 2.5: What's New and How It Actually Performs
OpenAI's ChatGPT Images 2.5 adds sketch-to-image, better identity matching, and multi-step edits. Here's what changed, tested hands-on.
ChatGPT Images 2.5 vs GPT Image 2: What Actually Changed?
ChatGPT Images 2.5 tested against GPT Image 2 with stop-motion, memes, and flowchart edits shows real gains in consistency and coherence.
Claude Code vs Codex vs Hermes: Choosing the Right AI Agent Harness
Why the harness around an AI model matters more than the model itself, and how to choose between Claude Code, Codex, Hermes, and similar agent tools.
Cognition SWE-2: Benchmarks, Pricing, and Real Test Results
Cognition's SWE-2 coding model scored 83.75% on independent testing, beating DeepSeek V4.1 Flash and Kimi K3, with free access through Devin Pro.
DeepSeek V4.1 Flash Benchmarks vs Opus 5 and GPT-5.6: What's Real?
DeepSeek V4.1 Flash matches Opus 5 and GPT-5.6 on paper, but hands-on coding tests expose a gap between benchmark scores and real output.
DeepSeek V4.1 Flash: Free Access, Pricing, and Credit Limits Explained
DeepSeek V4.1 Flash is free for coding in WorkBuddy for a limited time. Here's how the zero-credit offer works and what's still unclear.
How to Run DeepSeek V4.1 Flash Locally: Hardware and Setup
DeepSeek V4.1 Flash cuts KV cache needs by 4x with a 552B MoE design. Here's what hardware and setup it actually takes to self-host it.