Kruel.ai V7.0 - Api companion with full understanding with persistent memory

Announcing Key Enhancements to Our AI Memory System

We’re excited to introduce two significant upgrades designed to improve our AI’s performance and conversational quality:

Self-Monitoring Integration

Our AI now features an advanced self-monitoring mechanism. In essence, the system reviews and refines its own responses in real time, ensuring that the final output is more coherent and contextually accurate. This self-assessment process helps maintain the quality of interactions, enabling the assistant to better understand and adapt to user needs without compromising on responsiveness.

Improved Memory Consolidation

We’ve also enhanced our memory management system. When conversations become extensive, our improved memory consolidation process automatically summarizes and compacts past interactions. This ensures that the assistant retains the most relevant details while keeping the context concise and within operational limits. The result is a more efficient memory retrieval process that supports clearer, faster, and more focused responses.

These upgrades are part of our ongoing efforts to refine user experience by making our system smarter, faster, and more context-aware. We look forward to your feedback as we continue to evolve and enhance our AI capabilities!

New TTS Voice system / Streaming

We added the newest model for voice to replace our previous option which now gives us full emotional ranges through our voice instructions.

There is another system we will be releasing shortly which will be a toggle for dynamic voice where the Ai on the fly based on content will update its instructions on the fly allowing the system to do everything. We will also add in option for on the fly preference editing of the voice instructions which we already have for preferences. This will improve and make the system more exciting and fun.

We are not implementing the new cloud STT models as we currently use the offline whisper model. But that is not to say we won’t offer both we are setup for complete modularity by design.

Also We have completed another 4 certs this week :slight_smile:

Vanderbilt University

  • AI Agents and Agentic AI in Python: Powered by Generative AI
    Issued: Mar 2025
    Credential ID: 0IUB2MDMEK9T
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  • AI Agents and Agentic AI with Python & Generative AI
    Issued: Mar 2025
    Credential ID: 99203R2IZLSB
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  • Prompt Engineering for ChatGPT
    Issued: Mar 2025
    Credential ID: H5IKFOC9DXSO
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DeepLearning.AI

  • Generative Deep Learning with TensorFlow
    Issued: Mar 2025
    Credential ID: 48RKMRKSKFPB
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  • Advanced Computer Vision with TensorFlow
    Issued: Oct 2024
    Credential ID: V3Z4R7MUV109
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  • Supervised Machine Learning: Regression and Classification
    Issued: Apr 2024
    Credential ID: T3DVLQXERMZ2
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H2O.ai

  • H2O ai Large Language Models (LLMs) - Level 1
    Issued: Mar 2025
    Credential ID: 03R1A2P92K6D
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  • H2O ai Large Language Models (LLMs) - Level 2
    Issued: Mar 2025
    Credential ID: JCUDI4KMMMYU
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  • H2O ai Large Language Models (LLMs) - Level 3
    Issued: Mar 2025
    Credential ID: UFZMQPTH3891
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  • Large Language Models Specialization
    Issued: Mar 2025
    Credential ID: WDPBO6DI9D79
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Neo4j

  • Cypher Fundamentals
    Issued: May 2024
    Credential ID: 3d897b1b-bb55-48d0-afca-5f056d3ae0fe
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  • Graph Data Modeling Fundamentals
    Issued: May 2024
    Credential ID: f885e7bd-83a6-4bef-a057-99c7663d1bf4
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  • Importing CSV Data into Neo4j
    Issued: May 2024
    Credential ID: d3e6e622-22a3-4a7a-aea6-da2632ac2397
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  • Neo4j Fundamentals
    Issued: May 2024
    Credential ID: 69302458-7235-4623-87ed-647a2d7af668
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  • Neo4j & LLM Fundamentals
    Issued: Apr 2024
    Credential ID: f26c0bc0-d461-4256-8382-5e63c9a1290e
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Each certificate is a milestone on our journey through the ever-evolving landscape of AI and data mastery. So, let’s raise a virtual toast to these achievements – proof that when it comes to skills, we’re not just playing around.