OpenClaw vs Hermes Agent: the Honest Comparison Nobody’s Given You Yet
Author(s): allglenn Originally published on Towards AI. OpenClaw vs Hermes Agent: the Honest Comparison Nobody’s Given You Yet Peter Steinberger built the first version of what became OpenClaw in about an hour. A WhatsApp bot, a few tools bolted on, pushed to …
DeepSeek-V4-Flash: the $0.28 Model that Just Embarrassed the AI Industry’s Pricing
Author(s): allglenn Originally published on Towards AI. How DeepSeek-V4-Flash’s hybrid sparse attention and MoE design deliver near-frontier agentic coding at a fraction of GPT and Claude’s API cost Twenty-eight cents. That’s what a million output tokens costs on DeepSeek-V4-Flash. The same volume …
Becoming a Top 1% Hermes Agent User: The Complete Playbook No One Else Is Sharing
Author(s): allglenn Originally published on Towards AI. Becoming a Top 1% Hermes Agent User: The Complete Playbook No One Else Is Sharing Three weeks into running Hermes Agent on a $5 VPS, I opened my terminal and it told me something I …
The Sonnet 5 Price is Not What You Think It Is
Author(s): allglenn Originally published on Towards AI. Sonnet 5 launched with a promotional rate of $2/$10 per MTok that expires August 31, 2026 The Sonnet 5 Price is Not What You Think It Is Sonnet 5 priceThe article explains that Sonnet 5’s …
10 Grok 4.5 Agent Engineering Concepts Every Developer Should Know Before Building on xAI’s Stack
Author(s): allglenn Originally published on Towards AI. A practical guide to Grok 4.5’s agent loop, reasoning_effort, context pricing cliff, and Grok Build. What the docs don’t spell out clearly. I burned about four dollars in a single afternoon last week. Same 40-step …
Pi: The Coding Agent Built by Someone Who Got Fed up With Claude Code
Author(s): allglenn Originally published on Towards AI. Pi: The Coding Agent Built by Someone Who Got Fed up With Claude Code Mario Zechner liked Claude Code. Then he watched it get worse in a way that’s specific to how agent tools tend …
10 Open-Weight Model Deployment Concepts Every MLOps Engineer Must Know
Author(s): allglenn Originally published on Towards AI. A practical guide to the 10 concepts behind deploying open-weight LLMs in production: licensing, quantization, serving engines, and observability. Fifty engineers start using your new internal assistant on launch day. The first ten get answers …
OpenCode vs. Grok Build vs. Claude Code: which open coding agent should you actually build on
Author(s): allglenn Originally published on Towards AI. OpenCode vs. Grok Build vs. Claude Code: which open coding agent should you actually build on Three terminal-native coding agents, three different bets. OpenCode wagers on model freedom, Grok Build on parallel sub-agents, Claude Code …
MiniMax M3 vs GLM-5.2 vs Kimi K3: which open-weight model should you actually self-host for agentic coding?
Author(s): allglenn Originally published on Towards AI. MiniMax M3, GLM-5.2, and Kimi K3 compared on VRAM, license, and agent-loop latency: the real decision tree for self-hosting an open-weight coding model i A team I know spent an entire sprint provisioning an 8-GPU …
I Self-Hosted Langfuse so My LLM Traces Would Stop Living On Someone Else’s Bill
Author(s): allglenn Originally published on Towards AI. I Self-Hosted Langfuse so My LLM Traces Would Stop Living On Someone Else’s Bill We crossed 100K traces a month in March. That’s the point where Langfuse Cloud’s Pro tier stops feeling like a rounding …
LLM Observability Tools Compared: MLflow vs. Langfuse vs. Confident AI
Author(s): allglenn Originally published on Towards AI. The 2 a.m. page that tracing can’t explain A support bot answers a billing question with total confidence and gets the refund policy wrong. Nobody notices for three days because the response looked fine: grammatically …
Before Kimi K3 Goes Open: 8 Secrets Every Developer Needs to Know
Author(s): allglenn Originally published on Towards AI. 1. What You’re Actually Deploying: 2.8T MoE With KDA and Two Attention Code Paths This guide covers eight concrete things you need to understand before you touch the download button: architecture, VRAM math, tooling dependencies, …
SGLang: the AI Tool You’ve Never Heard of Just killed Hugging Face’s Own Inference Engine
Author(s): allglenn Originally published on Towards AI. SGLang: the AI Tool You’ve Never Heard of Just killed Hugging Face’s Own Inference Engine SGLang started as a UC Berkeley research paper in 2023. By 2026 it was running on 400,000+ GPUs, generating trillions …
The Inkling Model: What OpenAI’s Former CTO Has Been Cooking
Author(s): allglenn Originally published on Towards AI. Mira Murati’s Thinking Machines Lab just shipped its first model, and led with the line “this is not the strongest model available.” Here’s what Inkling actually is, and why that admission is the interesting part. …
I Replaced My $400/Month Claude API Bill With GLM-5.2 + vLLM Here’s the Exact Playbook
Author(s): allglenn Originally published on Towards AI. GLM-5.2 + vLLM Here’s the Exact Playbook Last month, three separate engineers on my team opened Slack at 6 AM asking the same question: why did our AI spend spike from $290 to $440 in …