Category archive

Self‑Hosting & DevOps

Practical guides for running models on your own infrastructure: from local experiments to clustered deployments, monitoring, and automation without vendor lock‑in

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26 articles found

June 10, 2026

10 min read

3 concrete ways to fix accuracy, hallucinations and bias in your LLM agents

If you ship LLMs and agents into real workflows, you’ve already seen it: the model sounds confident, but dates are wrong, references are made…

Alex Genovese

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Self‑Hosting & DevOps

June 9, 2026

3 min read

Drop-In OpenAI Replacement: Swap base_url to EU-Hosted Regolo

Replacing OpenAI with a European, GDPR-compliant inference provider does not require rewriting your application because we provide an OpenAI-compatible endpoint, you only need to…

Alex Genovese

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Self‑Hosting & DevOps

June 9, 2026

10 min read

DFlash: x3 LLM inference speed – guide and codes

DFlash is a new block-diffusion based speculative decoding technique that speeds up large language model (LLM) inference by predicting multiple tokens in parallel. Unlike…

Alex Genovese

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Self‑Hosting & DevOps

June 4, 2026

7 min read

Accelerated LLM Inference with DFlash and vLLM Speculators (2026 guide)

DFlash is an effective speculative decoding algorithm designed to accelerate Large Language Model (LLM) inference without altering the core weights of your main verifier…

Alex Genovese

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Self‑Hosting & DevOps

May 29, 2026

4 min read

Implementing Stateful AI Agents: How to Build Anthropic’s Memory Store and Dreaming Architecture in Python

It's a blueprint production-ready for implementing a stateful, three-layer memory architecture for AI agents. Inspired by Anthropic's managed agent memory framework, this approach uses…

Alex Genovese

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Self‑Hosting & DevOps

May 5, 2026

5 min read

Why TurboQuant matters for real-world LLM inference

TurboQuant is a KV-cache compression method from Google Research that was presented at ICLR 2026. In the reported results, it compresses KV cache values…

Alex Genovese

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Self‑Hosting & DevOps

March 30, 2026

11 min read

AI Agents and Tool Chaining in 2026: How to Build Workflows That Actually Finish the Job

AI agents are useful when they complete bounded business tasks with reliable tool use, not when they simply produce long reasoning traces. That framing…

Alex Genovese

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Self‑Hosting & DevOps

March 27, 2026

6 min read

Run MiroFish with regolo.ai: A Complete Integration Guide

Are you tired of using outdated simulation tools that can’t handle the complexity of your projects? Do you want to unlock the full potential…

Alex Genovese

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Self‑Hosting & DevOps

March 20, 2026

11 min read

Build ToneCraft: an AI-powered Thunderbird extension for more professional emails (on Regolo GPUs)

AI email assistants are everywhere, but most tools still feel like generic text generators bolted on top of your inbox.What users actually complain about…

Alex Genovese

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Self‑Hosting & DevOps

March 11, 2026

4 min read

AI Footprint: How to Measure and Reduce LLM Inference Impact

AI is becoming part of everyday products, but every prompt, completion, and agent workflow has a real infrastructure cost. The public debate has shifted…

Alex Genovese

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Self‑Hosting & DevOps

March 2, 2026

9 min read

OpenClaw AI Agent: Build a 24/7 Business Automation Machine

What if your business could run a full marketing pipeline, manage CRM leads, monitor competitors, draft content, and open pull requests — all while…

Alex Genovese

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Self‑Hosting & DevOps

February 24, 2026

8 min read

Human-in-the-Loop: Phase or Permanent Fixture for Agentic AI?

What happens when your AI agent autonomously spends $50,000 of company budget on cloud resources — and gets it wrong? This isn't a hypothetical.…

Alex Genovese

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