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

A strategic guide to configuring and sending a CSAT survey when a conversation is closed
Looking to refine your CSAT survey strategy? This guide explores the robust triggers in leading platforms like Freshdesk and Zendesk and shows how an AI-driven approach can help you gather even smarter, more contextual customer feedback after a conversation is closed.
How to make AI content sound human: A practical guide
Struggling with robotic-sounding AI content? Learn the key techniques, from manual editing to using AI humanizer tools, to make your articles engaging and authentic for your readers.

Gorgias to Zendesk migration: what moves, what it costs, and what happens to your AI
A Gorgias to Zendesk migration moves your tickets, customers and macros. It leaves your Rules, Shopify macro variables and AI Agent setup behind. Here is the full plan and cost.

Zendesk to Help Scout migration: what moves, what it costs, and what happens to your AI
A Zendesk to Help Scout migration moves your tickets and customers for free. Macros, triggers and your Zendesk AI setup stay behind. Here is what to plan for.

AI voice agents for customer support: how they work and what they cost
An AI voice agent for customer support answers calls on its own using speech-to-text, an LLM, and text-to-speech. Here is how it actually works and what it costs.

Claude Sonnet 5.5 pricing in 2026: API rates, plans and real costs
Claude Sonnet 5.5 pricing is $2 and $10 per million tokens, half of Opus 5.5 on every line except one: cache reads. Here is what a real run costs at each effort level.

Claude Sonnet 5.5: same price, fewer tokens, and 5 breaking changes
Claude Sonnet 5.5 keeps Sonnet 5's $2/$10 price but does the same work in far fewer tokens. Here is what changed, what breaks, and what it means for support.

Meta Muse for bug reproduction: what Meta's AI can and can't do with a bug report in 2026
Meta Muse for bug reproduction is really three Meta products in a relay. The screenshot the customer sends on WhatsApp is the part most likely to get lost.

Meta Muse for knowledge base management: how Meta's WhatsApp AI keeps (and loses) its knowledge in 2026
Meta Muse for knowledge base management really means Meta Business Agent's four knowledge sources, each going stale differently, with gap-finding left to you.
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