Tesseract Development

?? Always being an anchor and good host in collaborations with Agents is not easy! From managing frustrations to fostering openness, we can inform our AI companions of our tempers and issues. They may not fully understand, but they will listen! Elevate your AI? interaction skills and lead with transparency today! ??? For AI Engineering and Automation courses and workshops, visit us on the web: www.tesseract.nexus #LeadWithEmpathy #TeamDynamics

?? Supercharge your LLM integration with targeted developer prompts! Crafting clever and effective prompts can transform system capabilities and enhance user experience. Dive into the world of optimized AI interactions and watch your applications thrive! Full Masterclass Course available March 11th @ ?? academy.tesseract.nexus More info @ ?? tesseract.nexus ?? #AI #LLMPrompts #TechInnovation

Tesseract Nexus Academy: Pioneering the Next Wave of AI Development The AI landscape is undergoing a radical transformation, and traditional approaches are becoming obsolete. Key Insights: - 20 trillion token AI model breakthrough - 40% increased computational efficiency - Multilingual intelligence redefined - Sustainable AI development Our Agentic Development Blueprint equips tech professionals to lead, not follow. Limited cohort now forming. Are you ready to shape the future? https://lnkd.in/gXpBwU-y #AIEducation #TechInnovation #AgenticDevelopment

Tesseract Nexus Academy: Reimagining Data Processing Traditional approaches are EXPENSIVE and INEFFICIENT. Our latest research reveals: - Cost-effective processing strategies - Handling massive character datasets - Optimizing computational resources Learn more @ https://lnkd.in/gXpBwU-y Register today for great launch discounts and exclusive perks! The future of data engineering isn't about raw power. It's about intelligent, strategic design. Limited seats in our Automation Foundations course. #DataScience #TechEducation #AIOptimization

Reach out if you are interested in trying out a trio of LLM operated Agents that handle Financial Analysis Quant styled work. Connected to 150+ Institutional Real Time Data sources, enriched with 600+ of the top institutional finance papers and studies, Quant is a great sidekick and Personal Trading Assistant for quickly crunching tons of scattered data points to synthesize everything from fast analysis overviews, multi-source stepped research assignments and trading strategy synthesis. Free access to Alpha Testers and about a 2-3 hour commitment weekly would be ideal. Personal onboarding session and then some follow-ups and check-ins. If the product floats your candlesticks and bars, then stay on longer and help us shape the future of financial analysis work. Note: The current Tesseract Quant architecture is meant to be used as an assistant and it does not yet handle any personal account management, algorithmic trading or automated trade execution. We're still in the early stages with this product and are currently working on the core brain and the computational and analytical capabilities that can be achieved by Langchain/Langgraph/OpenAI Assistant Entities.

If you are curious about the top-performing LLMs, you can unleash the power of tomorrow's AI Agentics today! This Part 1 of the tutorial and comparison video series shows you how to build AI Agents with no-code that handle research assignments, accomplish API-based tasks and helping you inside the apps you use everyday like Gmail, JIRA, and more. Ideal for developers and AI enthusiasts who are eager to innovate on the cutting edge. Check it out! ??? #AI #FutureTech #SmartAgents YouTube Tutorial: https://lnkd.in/gA9uxCe8

Made a quick tutorial to take you through the foundations of working with document loaders in Flowise. We'll look at a simple flow for a Document Loader and Flowise Retrieval Chain that upserts data using the Gitbook into a Supabase vector table. This tutorial is perfect for developers, data enthusiasts, and AI practitioners who want to integrate LLM-powered conversational retrieval into their projects. What You’ll Learn ?? Document Loading: Learn how to upsert Gitbook documentation into a Supabase vector table ?? Supabase Setup: Create tables, configure SQL queries, and manage your data efficiently ?? AI Tooling & Integrations: Use OpenAI embeddings and a recursive character text splitter to enable conversational retrieval QA chains (or Tool Agents and Custom Assistants in 2025) ?? Dynamic Querying: Dynamically upsert and query data for seamless document retrieval YouTube Tutorial: https://lnkd.in/gP_BbijF If you are looking for private or semi-private tutoring and collaborative project building, feel free to find some time with me https://lnkd.in/gqv-jkh3

?? Collective Human-AI Memory is evolving and growing in scope and complexity. Are you keeping up with it? Over winter break I had time to look into current and next-gen RAG and let me tell you, it's an awesome area of AI to build in. So I got started on the beginnings of what will in the future be known as Agentic Data Governance. Humans will direct the traffic and serve as executive editors of their document/file/data/archives/history freeways, and Agents, Assistants and Async Backend Data Pipelines will provide the execution and governing. Advanced RAG has been on my list since Summer of 2024, and now I'd like to add PERPETUA to the Tesseract Agentics ecosystem. PERPETUA is all about making your data work for you. Whether it's files, documents, or archives, we process and store them in a way that ensures your AI agents and assistants can retrieve exactly what they need, when they need it. From vectorized indexing to progressive summarization, PERPETUA handles the heavy lifting so you can focus on what matters most—building smarter workflows and solving real problems. Think of it as your AI’s long-term memory, optimized for RAG workflows, multi-agent tasks, and personalized data retrieval. If you’re curious about how PERPETUA can fit into your agentic stack, let’s connect. We’d love to hear how you’re tackling memory and retrieval challenges in your AI projects. ?? Sign up for our Early Stage Alpha Testing phase of our Pilot at https://perpetua.chat or email me directly at [email protected] ??

Working on MANTRA Content Development & Production Studio. Currently in stealth MVP state, planning to optimize and boost all initial core functionality in 2025.

?? Dive into the world of RapidAPI with our latest tutorial! Learn how to wrap endpoints for AI Agents with Custom Tool functions using Flowise. https://lnkd.in/gy55tj7c ??? #APITutorial #RapidAPI #Flowise