Jose Arturo
Web Desing, n8n, python, JS, Node, Claude. AI services.
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Project Name: Tell me a story Dad/Mom
Template Link: https://elevenlabs.io/app/templates/SdRrbRVrYdABebMSyFto
(https://elevenlabs.io/app/templates/SdRrbRVrYdABebMSyFto)Social Media Post: https://www.linkedin.com/posts/jose-arturo-6b5507332_elevencreative-activity-7461639238644572160-84QG?utm_source=share&utm_medium=member_desktop&rcm=ACoAAFO5jykBCSk0VemkPNBaENwE-LE_0HIHznU
Description: An interactive, age-gated AI storybook template tailored to early childhood psychological milestones, featuring instant parent voice cloning and animated sequential dialogs.
Process Steps:
Designed a custom input architecture allowing parents to record/upload voice samples, select targeted child age groups (1-10 years), and type custom story themes.
Formulated a core Orchestrator AI Engine (LLM Node) embedded with strict developmental filters that automatically shift text difficulty, narrative pacing (10 scenes / 90 seconds), and prompt generation styles according to child age milestones.
Separated parent narration from character dialogues to enable multi-character native voice mapping and independent LipSync processing down the pipeline.
Tied a standalone secondary node for automated background score generation (music-box/lullaby bed) with a programmed cinematic fade-out transition.
Feedback on ElevenLabs:
The new modular template interface and node connection system are incredibly powerful for creating enterprise-ready SaaS wrappers. However, the system crashes and throws loop errors when trying to pass heavy structured blocks (like a 10-scene detailed JSON) into a single node's text parameters. Having more robust error-handling or internal payload distribution would fix this.
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bacqm.com (https://bacqm.com)
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This isn't a programming project; it's a preview of the book I'm working on with two friends. The book is about mathematical topology and proposes the existence of an eigenstate, a state where the Hermitian operators of the system minimize the variance. We demonstrate that this minimization process, which can never be perfect, relates three theorems of modern science into a single mathematical structure: Robertson's inequality, Cramer's and Rao's bound, and Landaver's principle.
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In this personal project, a neural network for AI was designed. The network learns and explores using tensor equations specifically designed for this project. We included a novel feature: a chaotic generation system that forces the network to oscillate continuously, searching for answers without the need for external prompts. The equations that underpin this project will be formally presented in a forthcoming book.
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In this project, we created an algorithm to improve the efficiency of Bitcoin mining, using a TopePliz matrix, Markov chains, and dynamic tensors. The project was sold to the owners of a mining operation as equipment optimization. A new firmware was designed to control the mining machines, replacing brute force with a focused sweep of hotspots where shares are more likely to be found.
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The personal project I've been working on for the past few months is an intelligent system that reduces heat buildup in equipment by controlling the entire system's operation as a dynamic system modeled by tensors. It reduces thermal lag and improves equipment performance, especially in older equipment.
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