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New Course Page: Optimal Intelligence Allocation — AI Model Landscape
Some good findings in this research. Tons of savings in model orchestration and intelligence allocation.
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New Course Page: Optimal Intelligence Allocation — AI Model Landscape
Trying to spark a conversation
Now fr, as people who are relying deeply on AI. Is there any argument for any other AI stack than the one from Google? Starting with Gemini - I mean for a while these brains are pretty comparable across the board. NanoBanana feels way more practical for me in my work - designing stuff for websites, apps and basic business marketing. Veo - I mean it is not perfect, but for me I only got better results using the Canva video AI (I was shocked too) but the convenience of the Google stack beats using a bit better AI. Plus I have way more credits on this. Antigravity - in my opinion hands down the best agentic IDE in the game. I agree that rate limiting is getting worse lately and it made me switch to the ultra plan but every penny in that purchase is worth it when you are actually monetizing it. Jules - here I don't have deep experience with for example Claude Code or even more general orchestrator like Open Claw but Jules gets all the shit I need done no problem. Now the big one - Stich - here I don't see any competitor anywhere close enough. Even before it was briliant but the update this tool got in the past days made me write this post. So now for real. Is there any argument for using anything but this full tech stack as a developer nowadays? OpenAI seems to be going too much in the normie direction. Anthropic might be a serious competitor and I have considered switching back a few times as it is good at some specific tasks but the fact that I have the LLM integrated in Antigravity gives me all I need anyway. And the big hype lately about local models is definitely valid but unless you are willing to go 2 years into the past or buy 500GB+ of VRAM I don't think it can deliver results even in the same ballpark. Maybe it might be the long term option, but I don't see it. So fr, any opinions to bring me so needed fresh perspective?
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Claude Code and Opus 4.6 give me a lot of leverage for my efforts. 10x, 100x sometimes even up to 1000x input to output ratio. Especially with our nucleusbrain 7 pillar architecture for business. Do you @Jakub Lustyk feel this with Google's suite? massive increase in productivity? I would like to test Google's opensource tools like Gemma and TurboQuant.
New Course Page: AI Marketing - Synthetic Persona Monetization
New Course page on the latest of AI marketing on April 6, 2026. AI is moving fast so this can become outdated soon. Give claude this pdf or md to fully leverage the research.
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Nucleus Brain Opensourcing at 8PM on Friday, March 27th, 2026
In the paraphrased words of Dale Carnegie, "Surround yourself with experts in their fields." Nucleus recommends the next best task across The 7 Pillars : Engineering, Product, Data, Revenue, Operations, Customer Success, and People as a default. We are open sourcing it at 8PM on Friday, March 27th, 2026. Join the livestream : https://www.skool.com/promptmaxxers-8987/calendar?eid=d678dca31aaf4757a83b247c36dab335&eoid=1774656000https://www.skool.com/promptmaxxers-8987/calendar?eid=d678dca31aaf4757a83b247c36dab335&eoid=1774656000 ⚠main ◆nucleus Opus 4.6 ███░░78% $0.00 0s ⬡o0 ▶0 ✓0 │ - │ kg48% ✔ ⏵⏵ bypass permissions on (shift+tab to cycle) 5% until auto-compact #Launchpad
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Giany Rox
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@gianangelo-dichio-6880
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Active 4h ago
Joined Jan 2, 2026
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