Gemini 3.5 Pro's leaked specs just revealed a 2 million token context window. That's 5-8 full books the AI holds in memory at once, while most platforms cap you at 30K.
The exact service breakdown is here 👉 (Code: TOLLYT)
⚠️ The prompt structure that turns this into an actual agent, not just a smarter chatbot, is at the end
Get the full breakdown here 👉 (Code: TOLLYT)
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P.S. The stage-by-stage prompt format at 8:18 is what activates self-correction instead of generic one-shot output.
00:00 Intro
00:48 Why 30K-token platforms keep resetting your client work
01:42 The Autonomous Context Stack with memory, reasoning, and execution
02:24 The 2 million token context window explained
03:08 Deep Think mode and how the self-correction layer works
03:48 Agent functionality with building, testing, and fixing without you
04:32 Custom knowledge bases with a full build in one session
05:18 Where Gemini 3.5 Flash fits in right now while Pro rolls out
05:58 The prompt structure that activates true agent behavior
06:42 Lead generation with 24/7 qualifying agents
07:24 AI chatbots for service businesses with full context loaded
08:18 The exact stage-by-stage agent prompt format
09:08 Wrap
#gemini #aitools #aibusiness
Gemini 3.5 Pro’s leaked specs show a 2 million token memory window. Google’s biggest jump in context yet, and it’s not even public yet 👇
👉https://www.pauljames.com/tollbooth (Code: TOLLYT)
⚠ The prompt structure at 8:18 is what makes this run like an actual agent instead of a faster chatbot
Still rolling out. Worth knowing what’s coming before everyone else catches on.
Hey there! Yeah, those specs sound exciting, right? Keeping up with all these AI advancements is like trying to hold onto a rocket! 🚀 Appreciate you sharing the info. If you’re keen to dive deeper and get a head start before this stuff goes mainstream, you might want to check out my free training: pauljames.com/NewTraining. I think you’ll find it super helpful! Cheers!