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

5 call center outsourcing alternatives worth considering in 2026
The real cost of call center outsourcing, why teams are leaving it, and 5 named alternatives (from flexible BPOs to AI automation) with real pricing.

Google Vertex AI Claude Code: An expert overview for 2026
Thinking about using Anthropic's Claude Code on Google Vertex AI? Our expert overview breaks down everything you need to know about its setup, powerful features, and complicated pricing model to help you decide if it's the right choice for your team.

Kustomer pricing: a complete guide to plans and costs in 2026
Explore Kustomer pricing in 2025 with a full plan breakdown, hidden cost warnings, and AI add-on details to help you budget smarter.

A complete guide to Salesforce Flex Credits in 2026
Is the new Salesforce Flex Credits model right for your team? This guide breaks down the new pricing, how it works, and what challenges you might face.

A practical guide to Stripe integrations with n8n in 2026
Discover how to build Stripe integrations with n8n for automating payments, invoicing, and customer data syncs. This guide covers key use cases, technical challenges, and when a dedicated AI support platform might be a better fit.

Kimi K2.7 Code pricing: API rates, tiers, and real costs
Kimi K2.7 Code costs $0.95 per 1M input / $4 per 1M output on Moonshot's own API, less via OpenRouter or free to self-host, but real accounts report paying more, not less.

8 Best Blogger Outreach Tools in 2026
I checked 8 blogger outreach tools live in 2026. Half the classic list has pivoted or gone dark, and this breaks down what's actually still worth signing up for.

Zendesk Sunshine Conversations vs Live Chat, Explained
Zendesk Sunshine Conversations is the messaging layer under Zendesk's live chat. Here's what it does, what it costs, and where AI fits in.

What is Kimi K2.7 Code? Moonshot AI's coding model, explained
Kimi K2.7 Code is Moonshot AI's open-weight coding model: 1T parameters, 32B active, and a forced-thinking design. Here's how it actually works.
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