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

The 8 best AI tools for business by use case (2026)
Not sure which AI tools are worth it? This list keeps it simple, real use cases, and no fluff.

AI writing tools compared in 2026: 9 platforms side-by-side
Compare nine AI writing tools in 2026 - Jasper, Copy.ai, Writer, Writesonic, Anyword, Koala, Frase, Rytr, and AI Summarizer - with pricing, features, and a verdict for each.

10 best AI tools for academic writing in 2026 (tested and ranked)
I tested 10 AI tools for academic writing across research, literature review, grammar, and submission prep. Here is what is worth using in 2026, and what to skip.
The essential guide to creative blog writing that connects and converts
Learn the core principles of creative blog writing. This guide covers finding your voice, storytelling, and using tools like the eesel AI blog writer to create content that connects with readers and scales your efforts.
A complete guide on how to create AI blog images
Discover how to create AI blog images to enhance your content. This guide compares different workflows, from integrated tools like eesel AI blog writer to manual generators like Canva and technical API setups, helping you choose the best method.

Sakana Fugu Max: how it works, pricing, and benchmarks
Sakana Fugu Max is a cost-performance AI model that orchestrates a pool of other models behind one API. Here is how it works, what it costs, and who it is for.

Salesforce Agentforce Casey: what the new AI customer service agent actually does
Salesforce launched Agentforce Casey, a prebuilt AI customer service agent, on September 11, 2026. Here is what Casey does, how it works, and what it really costs.

ChatGPT for financial services: an honest review (2026)
An honest review of ChatGPT for financial services: what it does brilliantly, where it quietly fails, and why a support desk needs more than a chatbot.

NASA-IBM Lunar Foundation Model: the open-source Moon AI, explained
NASA and IBM just open-sourced a foundation model trained only on Moon data. It beats a bigger generic model at finding ice and craters. Here is what it is, and the lesson underneath it.
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