Articles
247 articles on running a business with AI
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Nvidia and Hugging Face: 8 Predictions for Open AI Through 2027
Nvidia's reported $12.9 billion Hugging Face acquisition, forecast forward. Eight predictions with confidence levels on deal close, Nemotron 4, open model pricing, regulation and what businesses should do next.
Nvidia's $12.9 Billion Hugging Face Deal and the Nemotron Plan, Explained
Nvidia has reportedly agreed to buy Hugging Face for $12.9 billion. What the deal covers, how the Nemotron Coalition plans to reach state of the art, and what it means for businesses building on open AI models.
Headlong: The AI Agent That Never Stops Thinking (Laude Institute Deep Dive)
Deep dive into Headlong, Laude Institute open source Bash microharness for persistent AI agents that think continuously. Includes cost breakdown, self-repair case study, and comparison with reactive harnesses like OpenClaw.
How AI Agents Solved the Reporting Equation Businesses Face
AI agents solve the reporting equation by replacing manual data preparation (which consumes 80% of reporting effort per Gartner) with an autonomous perceive-reason-act loop, turning reporting from a chore into a continuous source of decisions.
Where to Deploy AI Agents in Your Business: A Theory of Constraints Method
Deploy AI agents against your biggest bottleneck, not wherever automation is easiest. The Theory of Constraints method: 5 steps, 6 constraint types, agent deployment matrix, and a 90-day rollout plan.
Perplexity Portable Computer on DGX Spark: Fully Local AI Agents, Explained
Perplexity Portable Computer runs the entire agent stack: orchestrator, models, harness, and sandbox, locally on NVIDIA DGX Spark with zero per-token costs. What ships, what the benchmarks say, and who should run it.
Why DeepSeek Harness Is the New Meta for AI Agents
DeepSeek Harness hit 183K GitHub stars in 9 days, 100K in two days at 2,100 stars per hour, with 10,000+ community plugins. Why dsh is the OpenClaw moment all over again, one level deeper: the harness, not the model, is the product.
DeepSeek V4-Flash-Vision-Exp: Multimodal Agents Near Opus 4.8 at V4 Flash Prices
DeepSeek's experimental V4-Flash-Vision-Exp adds vision to the bargain agent model: 83.9 Terminal Bench 2.1, 59.3 DeepSWE, close to Opus 4.8 on multimodal agent benchmarks, same price as V4 Flash. Benchmarks, API usage, image billing and dsh harness 0.1.1 support explained.
I Built a Fireflies.ai Clone With the dsh Harness: 109 Agent Steps at 48 tok/s on DeepSeek V4 Flash
Personal experience running DeepSeek's dsh harness: one prompt, 109 agent steps, 48 tok/s on V4 Flash 0731, a working Fireflies.ai clone plugin, and the approval-gate behaviour that earned my trust. Includes session metrics, cost math, V4 Flash vs Opus comparison and secure VPS + Tailscale self-hosting steps.
AI for Fitout and Interior Construction Companies in Australia: 2026 Guide
AI for Australian fitout companies: archive analysis, BoQ generation from drawings, material cost tracking. Includes a real $6,000 archive analysis scoped for a 65-staff firm. Pricing from $3,000.
AI for Builders and Construction Companies in Australia: 2026 Practical Guide
How Australian builders use AI for plan reading, takeoffs, quoting and compliance. We tested 10 vision models on real plans: 4 of 6 within 10% accuracy at $15 per plan set. Pricing included.
AI for Golf Club Pro Shops and Retail Operations in Australia
Practical AI for Australian golf pro shops: inventory forecasting, member purchase analysis and automated communications. Setup from $500 to $5,000, with a real 200+ store training case study.
TrueForge vs DeepSeek Harness vs Claude Managed Agents: 2026 Comparison
TrueFoundry's open-source TrueForge harness claims up to 75% cheaper agent runs than Claude Managed Agents. We break down the benchmark, compare it with DeepSeek Harness, Codex CLI and deepagents, and explain what it means for businesses choosing agent infrastructure.
DeepSeek Harness: Why 95,000 GitHub Stars in 2 Days Matters
DeepSeek Harness (dsh) hit 95,000 GitHub stars in 2 days with its everything-is-a-plugin agent architecture. We installed it, benchmarked the claims and explain what it means for teams choosing agent infrastructure.
GLM-5.3 vs DeepSeek V4-Pro: The 24-Hour Showdown
GLM-5.3 and V4-Pro-0813 shipped 24 hours apart, both claiming the open-weights coding crown. Deep research, self-reported benchmarks separated honestly, pricing in AUD context and decision infographics.
AI for Mechanical Services Businesses in Australia: Automating Parts, Pricing and Workflows
How Australian HVAC, plumbing and mechanical services businesses can use AI to track parts costs, automate quoting, optimise scheduling and reduce admin by 15+ hours per week.
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.
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