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

7 Kimi K3.1 Pro alternatives in 2026, compared by cost per task
Seven Kimi K3.1 Pro alternatives, priced per 1,000 requests and per finished task: Claude Sonnet 5.5, Opus 5.5, Gemini 4 Argon, Gemini 3.8 Flash, DeepSeek and more.

Block Dessa: the speech-only AI voice model, explained
Block Dessa is a full-duplex voice model trained only on recorded human speech. What Block has shown, what it hasn't, and whether it matters for support teams.

Kimi K3.1 Pro review: near-frontier brains, slow hands
My Kimi K3.1 Pro review: a 3.5/5 model that thinks close to Claude Opus 5.5 at $2/$10 per million tokens, but runs slow, writes long, and has no weights yet.

Kimi K3.1 Pro pricing: API rates, plans and real cost per task
Kimi K3.1 Pro pricing is $2/$10 per million tokens on the API, or $19 to $199 a month on Kimi plans. What a real task costs, and where the bill grows.

Nemotron 3.5 Bolt: NVIDIA's 24GB local AI model, explained
Nemotron 3.5 Bolt is two NVIDIA open models: a 74B model squeezed into 24GB for local agents, and a 4GB E4B for voice and devices. Specs, benchmarks and catches.

Kimi K3.1 Pro: benchmarks, pricing and the real catch
Kimi K3.1 Pro is Moonshot's 2.8T open-weight model at $2/$10 per million tokens. What changed from K3, where it beats Claude, and the speed and limit catches.

Best WhatsApp Business API providers for customer support in 2026
Every WhatsApp Business API provider connects you to the same Meta Cloud API. Here is how 9 of them differ for support teams, and what each costs one real team.

Dream-1 pricing: what the $3-an-hour robot model really costs
Dream-1 pricing is $3 an hour, $2 for flash, plus $200 per fine-tune. Here is what that adds up to per shift, per year and per finished robot task.

WhatsApp auto reply: how to set it up, with templates (2026)
Set up a WhatsApp auto reply in the free Business app in two minutes, copy ready-made away message templates, and know when a preset reply stops being enough.
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