Sebastian Schkudlara Follow
Hi, I am Sebastian Schkudlara, the author of Jevvellabs. I hope you enjoy my blog!
Posts by Sebastian Schkudlara
Why I Built Lope: The Single-Model Blindspot I Kept Tripping Over
A short origin story, because a few people have asked where lope came from and why I bothered building another sprint runner when there are already plenty.
In ai-engineering, open-source, Apr 13, 2026
The Intelligent Caveman: How Grunting at AI Validators Cuts Tokens 50-65%
There is a mode in Lope called intelligent caveman. It is on by default. It cuts the token cost of every validator response by 50 to 65 percent without losing a single line number, pa...
In ai-engineering, open-source, Apr 13, 2026
Lope for Marketing Budgets, Research Papers, and Board Memos
Lope is a sprint runner with a multi-CLI validator ensemble. When people see “sprint,” they assume “code.” That assumption is wrong, and it’s the thing I most want to fix in the first...
In ai-engineering, productivity, Apr 13, 2026
Introducing Lope: Any AI CLI Implements. Any AI CLI Validates.
``` ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ ████████████████████████████████████████████████
In ai-engineering, open-source, Apr 13, 2026
We Spent $0 on Recruiting. Here's the Tool We Used Instead.
Hiring Is Broken From the Employer Side Too
In ai-architecture, future-of-work, Apr 02, 2026
I Made My Career Profile Invisible to 90% of Recruiters. On Purpose.
Your Profile Is Either Public or Hidden. Why?
In privacy, future-of-work, Apr 01, 2026
Your CV Has a Spam Problem. Here's How to Fix It.
The Real Problem Isn't Your Resume
In future-of-work, ai-architecture, Mar 31, 2026
Math Over Vibes: How Scoutica's Deterministic Fit Scoring Works
The biggest mistake companies make when building “AI Recruitment” tools is thinking the LLM should be the evaluator.
In AI Engineering, Mar 31, 2026
Introducing the Scoutica Live Network: Decentralized AI Hiring
When we first launched the Scoutica Protocol, the goal was simple: stop giving big tech free access to your professional data and instead, let local AI models (scoutica scan .) map yo...
In AI Engineering, Privacy & Security, Mar 31, 2026
Every AI Provider Returns Errors Differently. That's a Huge Problem.
The Error Format Minefield
In ai-infrastructure, open-source, Mar 29, 2026
My LLM Provider Hung for 10 Minutes. My Proxy Saved the Server.
The Failure Mode Nobody Benchmarks
In ai-infrastructure, open-source, Mar 28, 2026
I Stress-Tested 5 AI Gateways. Only One Didn't Choke.
Your Proxy Is Probably Your Bottleneck
In ai-infrastructure, open-source, Mar 27, 2026
Scoutica Protocol: Turn Your CV Into a Skill Card That AI Agents Can Discover, Score, and Hire
Your CV Is Invisible — That's the Real Problem
In ai-architecture, future-of-work, Mar 24, 2026
Stop Building Flag-Heavy CLIs: The Future is Natural Language Streaming
The Death of the Flag-Soup CLI
In ai-architecture, developer-tools, Mar 23, 2026
Ditch the 10x Tax: Why Formal Proofs Beat Human Code Review for P2P AI Networks
The Meatbag Bottleneck
In ai-architecture, engineering, Mar 23, 2026
The Token Tax: Why I Built html2md for the AI Era
The "Token Tax" of the Human Web
In AI Agents, Data Engineering, Mar 16, 2026
html2md: Turn Any Website into Clean Markdown — With a Single URL
If you’ve ever tried to feed a website into an LLM, you know the pain. The web is messy. Cookie banners, JavaScript-heavy SPAs, Cloudflare walls, deeply nested DOM trees — and all you...
In Developer Tools, AI Engineering, Mar 16, 2026
Rescuing Content from the Abyss: Automating Legacy HTML to Markdown Migration
You’ve just inherited a 10-year-old legacy CMS disaster. Ten thousand pages of content. Broken inline styles. Deeply nested tables. Images pointing to paths that no longer exist. And ...
In Engineering, Open Source, Case Studies, Mar 15, 2026
The Half-Life of AI Tools: Why Your MCP Server is Already Obsolete
If you build tools for AI agents, you need to get used to the feeling of your work becoming obsolete before you’ve even finished writing the documentation.
In AI Engineering, Developer Tools, Mar 14, 2026
The Sandbox Illusion: Why Local AI Agents Need Kernel-Level Isolation
We keep pretending that wrapping an LLM in a thin API layer and telling it “don’t touch the filesystem” constitutes real security.
In Security, AI Agents, Engineering, Mar 13, 2026
Markdown is the New Assembly: Why LLM Pipelines Need Structural Compilers
Look at your RAG pipeline right now. Actually look at it.
In AI Engineering, Data Pipelines, RAG, Mar 13, 2026
Production-Ready P2P: How We Hardened Traylinx Stargate for the Real World
Building a peer-to-peer network for AI agents sounds deceptively simple. “Just let them talk to each other!”
In AI Agents, Engineering, Infrastructure, Feb 05, 2026
Building the Skills Infrastructure: How We Made Agent Capabilities Truly Portable
Last week, we talked about why agent skills matter. We covered how they solve context fatigue, enable just-in-time expertise, and turn flat documentation into portable, production-rea...
In AI Agents, Engineering, Developer Tools, Feb 05, 2026
Talk to Your CLI: Traylinx Cortex Brings Natural Language to Agent Management
If you’ve ever stared at a terminal trying to remember if the flag is --agent-name, --name, or just -n, you know the pain. And if you’ve ever wished you could just tell your CLI what ...
In AI Agents, CLI Tools, Developer Experience, Feb 05, 2026
Google Drive Forge: An AI That Writes Its Own Skills
What if your AI assistant could teach itself new tricks?
In Open Source, AI Tools, MCP, Feb 04, 2026
From Prompts to Portable Skills: How Agent Capabilities Grow Up
If you’ve spent any time building with modern AI agents, you’ve probably hit the same wall everyone else does: the bloated system prompt.
In AI Agents, Engineering, Agent Skills, Feb 04, 2026
Beyond the Chatbot: Inside the First AI-Native Society
🌐 Read this post in: English Español Deutsch
In AI, Trends, Agents, Feb 03, 2026
The Guardians: Superbrain & The State Box
In software engineering, the most dangerous error isn’t a Crash—it’s a Hang.
In AI, Engineering, Security, Feb 02, 2026
Intelligent Proxy Patterns: Building a Gateway That Learns
A proxy without memory is essentially a digital goldfish. It swims around, processes a request, and then immediately forgets that it ever happened.
In AI, Engineering, Agents, Jan 31, 2026
Embedding switchAILocal: An Integration Guide for Go Developers
switchAILocal isn’t just a standalone server. It’s also a Go SDK you can embed directly into your own applications. Instead of running a separate proxy process, you bake the gateway i...
In Engineering, Go, Tutorial, Jan 30, 2026
Cortex Phase 2: 20ms to Understand Your Soul
Routing should feel instantaneous. If you have to wait for your router to “think,” you’ve already lost the game.
In AI, Engineering, Deep Dive, Jan 30, 2026
4 Things That Surprised Me About Running a Local AI Gateway
I’ve been running switchAILocal for a while now, and there are a few things that caught me off guard. Not in a bad way—more like discovering a pocket knife has a bottle opener you nev...
In Opinion, Productivity, Local AI, Jan 29, 2026
What Is a Local AI Gateway? (And Why It's Your Personal Privacy Shield)
Imagine having ten different remote controls just to watch TV. One for Netflix, another for YouTube, a third for your cable box—each with its own batteries, its own buttons, and its o...
In Beginner, Privacy, AI Basics, Jan 28, 2026
Evolution: From Dumb Pipes to Intelligent Gateways
Let’s be honest: the local AI landscape is plagued by “Dumb Pipes.”
In AI, Engineering, switchAILocal, Jan 28, 2026
Mix, Match, and Attach: A Power User's Guide to switchAILocal
Once you have your AI tools unified behind switchAILocal, something interesting happens: you stop thinking about which app to open and start thinking about which model fits the task.
In Productivity, Workflows, Advanced, Jan 27, 2026
The Journey to OpenClaw: Rebranding the Local AI Agent
🌐 Read this post in: English Español Deutsch
In AI Agents, OpenClaw, News, Jan 27, 2026
Your Data, Your Rules: Why the Local-First AI Movement Matters
In the rush to adopt AI, a critical question often gets lost in the noise: where does your data actually go?
In Privacy, Security, Local First, Jan 26, 2026
The 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, 2026
5 Brutally Honest Truths About Deploying OpenClaw
📝 Update (Jan 27, 2026): This project has evolved from its early prototype phase into OpenClaw. Read the full story behind the transition in The Journey to OpenClaw: Rebranding the ...
In AI Agents, OpenClaw, Local AI, Jan 26, 2026
Polymorphism 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, 2026
The 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, 2026
One 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, 2026
Building Your First Traylinx Agent: A Python 'Hello World'
Building Your First Traylinx Agent: A Python ‘Hello World’
In Python, Tutorial, Traylinx, SDK, Code, Dec 02, 2025
Zero 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, 2025
Event-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, 2025
The 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, 2025
Traylinx Cortex: Giving Your AI a Persistent Memory (Finally!)
Traylinx Cortex: Giving Your AI a Persistent Memory (Finally!)
In AI, Architecture, Traylinx, Memory, PostgreSQL, Oct 05, 2025
A2A Ruby Gem: Agent-to-Agent Communication Made Simple
A2A Ruby Gem: Agent-to-Agent Communication Made Simple
In Ruby, Agent Development, API Design, Open Source, Distributed Systems, Sep 16, 2025
AI vs. Your Job Search: Frenemies in the Workplace
🌐 Read this post in: English Español Deutsch
In Artificial Intelligence, Career Development, Future of Work, Job Market, Technology Impact, Sep 05, 2025
🤖 ANP: The Secret Sauce for a Happily Ever After in the Agent Internet 🌐
🌐 ANP: The Secret Sauce for a Happily Ever After in the Agent Internet 🌐
In Artificial Intelligence, AI Development, Protocols, Agent Networks, Future-Proofing, Aug 04, 2025
Meta's Self-Learning Superintelligence: Tech Breakthrough or Transparent Threat?
🚀 Meta’s Big Claim: The Dawn of Self-Improving AI
In Artificial Intelligence, Superintelligence, Meta, AI Ethics, Surveillance, Aug 01, 2025
🚀 Unleash the Power of Specialization: Dive Deep into Our Infinitely Extensible AI Ecosystem
🚀 Unleash the Power of Specialization: Dive Deep into Our Infinitely Extensible AI Ecosystem
In Artificial Intelligence, AI Agents, Multi-Agent Systems, A2A Protocol, Enterprise AI, Jul 31, 2025
Securing the AI Agent Revolution: How OAuth 2.0 and A2A Protocols Are Reshaping Enterprise Identity
🌐 Read this post in: English Español Deutsch
In AI, Security, OAuth, Enterprise, Jul 31, 2025
🌐 AI Agent Protocols: The Enduring Foundation for Developers in 2025
🌐 Read this post in: English Español
In Artificial Intelligence, AI Development, Protocols, Frameworks, Future-Proofing, Jul 24, 2025
🚀 Revolutionizing Medical Imaging with AI: UCLA's SLIViT Model
🚀 Revolutionizing Medical Imaging with AI: UCLA’s SLIViT Model 🚀
In Artificial Intelligence, Healthcare Innovation, UCLA, AI Models, Deep Learning, Oct 19, 2024
Exploring Retrieval-Augmented Generation (RAG) Techniques: A Deep Dive
Exploring Retrieval-Augmented Generation (RAG) Techniques: A Deep Dive
In Artificial Intelligence, Technology Trends, NLP, Business Innovation, Oct 19, 2024
🚀 Exciting Insights from Mark Zuckerberg on Llama 3.1 and the Future of AI
🚀 Exciting Insights from Mark Zuckerberg on Llama 3.1 🚀
In Artificial Intelligence, Tech Innovation, Meta, AI Models, Jul 26, 2024
Retrieval-Augmented Generation (RAG): A Comprehensive Analysis of Techniques, Trends, and Applications
Retrieval-Augmented Generation (RAG): A Comprehensive Analysis of Techniques, Trends, and Applications
In Artificial Intelligence, Technology Trends, NLP, Business Innovation, Jul 24, 2024
Transforming Law Firms with AI: A Revolutionary and Secure Future
Transforming Law Firms with AI: A Revolutionary and Secure Future
In Generative AI, AI Strategy, Business Innovation, Technology Integration, Digital Transformation, Jun 07, 2024
Taking Control of AI: Why You Should Build Your Own AI Server
Taking Control of AI: Why You Should Build Your Own AI Server
In Generative AI, AI Strategy, Business Innovation, Technology Integration, Digital Transformation, Jun 07, 2024
Nvidia's Vision: The Future of AI, Robotics, and Digital Humans
Nvidia’s Vision: The Future of AI, Robotics, and Digital Humans
In Artificial Intelligence, Robotics, Digital Transformation, Technology, Jun 05, 2024
Rethinking Generative AI: Beyond Productivity Gains
Rethinking Generative AI: Beyond Productivity Gains
In Generative AI, AI Strategy, Business Innovation, Technology Integration, Digital Transformation, Jun 01, 2024
Implementing RAG (Retrieval Augmented Generation) Made Easy
Implementing RAG (Retrieval Augmented Generation) Made Easy
In RAG, AI, Customer Service, Technology Integration, Business Innovation, May 24, 2024
Fine-Tuning BERT for Sentiment Analysis with Hugging Face Transformers
🚀 Fine-Tuning BERT for Sentiment Analysis with Hugging Face Transformers
In BERT, AI, Sentiment Analysis, Machine Learning, Natural Language Processing, May 23, 2024
Real-Time Streaming with Ruby on Rails: A Step-by-Step Guide
Real-Time Streaming with Ruby on Rails: A Step-by-Step Guide
In Ruby on Rails, Real-Time Applications, Web Development, Live Streaming, Backend Development, May 22, 2024
Supercharging Ruby on Rails with Concurrent Threads
Supercharging Ruby on Rails with Concurrent Threads
In Ruby on Rails, Concurrency, Web Development, Performance Optimization, Backend Development, May 21, 2024