Articles
191 articles on running a business with AI
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Showing 41 to 60 of 191
We Tested 10 AI Vision Models on Real Construction Plans: The Models Were Never the Problem
We tested 10 frontier AI vision models on real architectural drawings for construction takeoffs. Four of six models achieved within 10% accuracy. A median of four models hit 0.03% error. Total cost: $15. The bottleneck was never the models.
DeepSeek V4 Flash 0731 on Dual DGX Spark: Why 13B Active Parameters Changes Everything for Private AI Agents
DeepSeek V4 Flash 0731 delivers frontier-level agentic performance with 13B active parameters, 10x smaller than Claude Opus. We run it on two NVIDIA DGX Sparks with Hermes Agent for private, on-prem AI workloads at 41 tok/s. Here is the full setup, cost analysis, and why it changes the economics of running AI agents locally.
DeepSeek V4-Flash Beats Its Own Pro Model: Agent Benchmarks That Just Changed the Game
DeepSeek V4-Flash just scored 82.7 on Terminal Bench 2.1, beating V4-Pro-Preview by 14.7%. At $0.14 per million input tokens, this is the most cost-effective agent model on the market.
Coding From the Fireplace: When AI Agents Run Your Tests
How remote AI agent development with Claude enables coding from anywhere while autonomous agents run regression tests on self-improvement loops. Real-world experience with phone-based development and 24/7 AI testing.
Jensen Huang's First Tweet: Defending Open-Weight AI Models Against Washington Curbs
NVIDIA CEO Jensen Huang made his first X post on July 24, 2026 to defend open-weight AI models. A coalition of 25 companies including Microsoft, Meta, OpenAI, and Y Combinator signed a letter urging Washington against premature restrictions on open-weight AI, warning that regulation would drive innovation overseas. Here is what the letter says, who signed, and why it matters.
AI Isn't Taking Your Job. Someone With AI Skills Is.
A new Australian government report reveals which professions are most exposed to AI. The real finding? Workers with AI skills command a 56% wage premium. Training is the answer.
From Loops to Graphs: The Next Paradigm in AI Agent Engineering
Graph engineering is replacing loop-based AI agents. Learn the 5-stage methodology, decision matrix, typed edges framework, and cost/performance tradeoffs. Includes visual infographics, code examples, and benchmark data from GraphRAG-Bench.
How to Choose an AI Consultant in Australia (Without Wasting Money)
Practical guide for Australian businesses evaluating AI consultants. Red flags to watch for, questions to ask, and how to avoid costly mistakes when hiring an AI automation partner.
AI Automation Cost in Australia: Complete Pricing Guide 2026
Real-world pricing for AI automation and AI consulting services in Australia. Understand what you should pay for workflow automation, AI agents, and ongoing support in 2026.
AI Consultant Gold Coast: How to Choose the Right Partner in 2026
Complete guide to finding and evaluating AI consultants on the Gold Coast. What to look for, realistic costs, and why local expertise matters for AI automation in Queensland businesses.
"I Just Ask My AI to Do It": What a Real AI Discovery Call Taught Me About Where Most Companies Actually Are
After sitting down with a Sydney construction firm to map out their AI strategy, I realised most companies are stuck between bottom-up experimentation and top-down ambition. Here's what a real discovery call revealed about where Australian businesses actually stand with AI adoption.
The AI Employee Factory: Building Specialised AI Workers for Construction with OpenClaw
A five-phase methodology for building specialised AI employees using OpenClaw as the agentic harness with local and frontier models. Features a detailed case study on pricing agents for construction companies delivering 800-1200% annual ROI.
Token Value Per Watt: The AI Efficiency Methodology for Growing Businesses
Perplexity CEO Aravind Srinivas says the AI race will be won on token value per watt. Here is a five-stage methodology for growing businesses to apply that principle and cut AI costs by up to 10x.
AI's Biggest Winners Have the Lowest Margins
The biggest winners of AI are not tech companies. They are manufacturers, logistics providers, and field-service operators with the lowest margins. AI agents deployed as infrastructure can deliver 5-12x ROI and 8-figure margin uplifts.
Kimi K2.7 Code vs MiniMax M3: Open-Source AI Coding Models Compared
MiniMax M3 vs Kimi K2.7 Code compared head-to-head. Full benchmark table, cost analysis, and local deployment guide from dual DGX Spark testing.
Hermes Agent vs OpenAI Codex vs Claude Cowork: The Coding Agent Showdown
Hermes Agent vs OpenAI Codex vs Claude Code compared. Which coding agent fits your workflow? Based on real dual DGX Spark deployment experience.
Colibri: Run GLM-5.2 (744B MoE) on a 25GB Laptop
Colibri runs GLM-5.2 on a 25GB laptop via pure-C disk streaming. Architecture, benchmarks, DGX Spark support.
ZCode The Open-Source Coding Agent Harness Chasing Cursor and Claude Code
ZCode is Z.ai's open-source coding agent harness for GLM-5.2. How it compares to Cursor and Claude Code for agentic coding workflows.
Google Open Knowledge Format: How Plain Markdown Files Are Becoming the Brain of AI Agents
Google OKF is a plain markdown format for AI agent knowledge exchange. Implementation guide, competitive analysis, and practical business applications.
GLM-5.2: The Open-Source AI Model Beating GPT-5.5 at 1/6th the Cost
GLM-5.2 is the strongest open-weight coding model with 81.0 on Terminal-Bench 2.1. Full review with benchmarks, architecture, and deployment options.
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