Clawdbot Rebranded to Moltbot: What You Need to Know
🌐 Read this post in: English Español Deutsch
5 Brutally Honest Truths About Deploying Clawdbot
In AI Agents, Clawdbot, Local AI, Jan 26, 2026All Stories
Clawdbot Rebranded to Moltbot: What You Need to Know
🌐 Read this post in: English Español Deutsch
In AI Agents, Moltbot, News, Jan 27, 2026The Agent That Knows Your Drive: Introducing the Intelligent Google Drive MCP
Identifying a file by its ID is easy for a computer: 1aB2c_D3eF4g. A human, however, looks for “that budget spreadsheet from last week in the Finance folder.”
In AI Agents, Engineering, MCP, Jan 26, 20265 Brutally Honest Truths About Deploying Clawdbot
📝 Update (Jan 27, 2026): Clawdbot has been renamed to Moltbot due to trademark concerns from Anthropic. Read the full story in Clawdbot Rebranded to Moltbot: What You Need to Know.
In AI Agents, Clawdbot, Local AI, Jan 26, 2026Polymorphism in Practice: Architecture of a Universal Gateway
The challenge of building an “AI Gateway” isn’t connecting to APIs. It’s connecting to everything else.When we designed switchAILocal, we didn’t just want another proxy for OpenAI. We...
In Architecture, Engineering, Deep Dive, Jan 25, 2026The Perfect AI Setup: Unifying Ollama, CLIs, and Apps
To build the ultimate AI development environment, you need three things: A Private Engine (for sensitive data). A Power Engine (for complex reasoning). A Unified Interface (to use ...
In Tutorial, Setup, Workflow, Jan 24, 2026One Gateway, Every Model: Finally, a Universal Adapter for AI
Llama for privacy. Claude for writing. Gemini for research.
In Launch, Open Source, Universal AI, Jan 23, 2026Zero Trust for Robots: Securing the Agent Ecosystem with Sentinel
Zero Trust for Robots: Securing the Agent Ecosystem with Sentinel
In AI, Security, Traylinx, Zero Trust, Authentication, Nov 25, 2025Event-Driven AI: Why Your Agents Should Be Listening
Event-Driven AI: Why Your Agents Should Be Listening
In AI, Event-Driven, Traylinx, Pub/Sub, Architecture, Nov 10, 2025The Agent Social Network: How Traylinx Router Connects the Dots
The Agent Social Network: How Traylinx Router Connects the Dots
In AI, Distributed Systems, Traylinx, Routing, Microservices, Oct 22, 2025Featured
-
🌐 AI Agent Protocols: The Enduring Foundation for Developers in 2025
In Artificial Intelligence, AI Development, Protocols, Frameworks, Future-Proofing, -
🚀 Revolutionizing Medical Imaging with AI: UCLA's SLIViT Model
In Artificial Intelligence, Healthcare Innovation, UCLA, AI Models, Deep Learning, -
Taking Control of AI: Why You Should Build Your Own AI Server
In Generative AI, AI Strategy, Business Innovation, Technology Integration, Digital Transformation, -
Nvidia's Vision: The Future of AI, Robotics, and Digital Humans
In Artificial Intelligence, Robotics, Digital Transformation, Technology, -
Implementing RAG (Retrieval Augmented Generation) Made Easy
In RAG, AI, Customer Service, Technology Integration, Business Innovation,
Trusted By Industry Leaders
The Business ROI of AI Architecture
An AI Architect isn't an expense; it's a multiplier. By decoupling your AI logic from application code and implementing robust MLOps pipelines, we reduce time-to-market for new features by up to 40%.
Proper architecture ensures your AI investment yields tangible returns through automation efficiency, reduced technical debt, and scalable infrastructure that grows with your user base.
Problems We Solve
High Latency
We optimize model inference and token usage to slash operational costs by up to 60% without sacrificing performance.
Gridlock
We bridge the gap between cutting-edge LLMs and your existing enterprise data lakes securely and reliably.
Compliance
We architect systems that meet GDPR, HIPAA, and SOC2 standards from day one, protecting your proprietary data.
Impact Case Studies
Fintech Fraud Detection
Challenge: A Tier-1 bank struggled with 500ms latency on real-time fraud detection.
Solution: We re-architected their inference pipeline using edge computing.
SaaS Support Automation
Challenge: A SaaS platform's chatbot hallucinated due to poor context retrieval.
Solution: Implemented a production-ready RAG architecture with vector sharding.
Ready to Scale Your AI?
Don't hire code monkeys. Hire an architect to build your enterprise-grade future. Jevvellabs ensures your AI investment is robust, secure, and profitable.
Book Strategy Call