Google just dropped three new Gemini models, but the real story isn't the benchmarks.
I broke down the exact setup here 👉 (Code: YTfamily)
⚠️ A cheap model with memory beats an expensive one without it
Get the full breakdown here 👉 (Code: YTfamily)
My VLOG Channel 👉
Follow on 📸 INSTAGRAM ►
P.S. The memory configuration that makes this actually work is at the end.
00:00 Intro
00:45 Why the benchmarks aren't the real story
01:40 Gemini 3.6 Flash explained
02:35 The Agent Memory System
03:40 Building customer-facing AI agents
04:45 Connecting Gemini to a local knowledge base
05:50 Content creation and social media agent workflows
06:55 Lead reactivation campaign example
07:40 The exact memory configuration
08:35 What this unlocks next
#gemini #aiagents #aitools
Google just dropped three new Gemini models, but the benchmarks aren’t what matter 👇
👉 https://www.pauljames.com/deposit (Code: YTfamily)
⚠ A fast, affordable model with memory beats a slower, more expensive one without it.
This configuration is what makes it actually work.
Hey there! Totally agree with you—it’s all about finding the right balance between speed and memory in AI models. The benchmarks get everyone hyped, but what really matters is how you can put these tools to use in real-world applications. 😄
If you’re curious about implementing ideas like these with AI, check out my free training here: pauljames.com/NewTraining. Keep rocking it!
Hey Paul James I can redesign the thumbnail for the video. Dm me