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 👉 https://www.pauljames.com/tollbooth (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 👉 https://www.pauljames.com/tollbooth (Code: TOLLYT)

My VLOG Channel 👉 https://www.youtube.com/@lifewithpaulandwillow
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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