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Tips, guides, and insights on AI teammates, smarter support, and building better teams.

TorchNeuron explained: AWS's native PyTorch backend for Trainium
TorchNeuron runs existing PyTorch code on AWS Trainium by switching the device to neuron. What changed, what a chip costs, and where the one-line promise stops.

Inception Mercury 3 pricing: launch vs list price, and what a task really costs
Inception Mercury 3 pricing in full: the $0.10/$0.35 launch rate, the $0.20/$0.70 list price behind it, cached input, free tokens, and real cost per task vs rivals.

EU AI Act for customer service: what support teams must do in 2026
The EU AI Act for customer service in plain words: which support AI must say it's AI, what counts as a good disclosure, the emotion AI ban, and the high-risk edge cases.

Inception Mercury 3: the 1,000 token-per-second diffusion LLM, explained
Inception Mercury 3 is a diffusion LLM that writes whole drafts at once. What it is, how fast it really runs, Inception's benchmarks, price and who should use it.

Cost per ticket benchmarks 2026: what a support ticket really costs
Cost per ticket benchmarks from Gartner, MetricNet and BLS, how to calculate your fully loaded number, and why AI makes human tickets look pricier.

AI support vendor security checklist: 25 questions for 2026
An AI support vendor security checklist covering training, data flow, agent permissions, prompt injection and audit logs, with 7 helpdesk vendors compared.

AI customer support for marketplaces: buyer, seller and trust lanes
AI customer support for marketplaces works when you split buyers, sellers and trust and safety into lanes, automate the lookups, and keep people deciding disputes.

Deflection vs resolution rate: how 9 helpdesks count AI success
Deflection rate counts conversations that ended without a person. Resolution rate counts problems solved. Here is how to measure the gap and what it costs you.

AI customer support for telehealth: what to automate and what to keep human
AI customer support for telehealth works when you sort patient messages by risk: AI answers booking, AI drafts billing and refill intake, clinicians own symptoms.
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