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Authors

George Barbu

Founder & Product Engineer

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George Barbu

Founder, InfoWebPlus

George Barbu has been building for the web since the 2004 mobile WAP era. He started his first company in 2016, originally under a different name. The infowebplus.com domain dates back to its first registration in 1998 and was acquired by George in 2025; today that business is positioned under the InfoWebPlus brand. He keeps the studio small and senior by design: clients work directly with the engineer who scopes, builds, and maintains their systems, with no account managers in between. His writing draws on implementation work: AI features that stalled after launch, automation that looked efficient on paper, internal tools that never found users, and build-vs-buy decisions where the wrong cost comparison led to the wrong outcome. He focuses on what technical decisions cost over the full lifecycle, the maintenance, the dependencies, and the organizational burden that don't appear in the original proposal. He works with founders, operators, and technical leads making decisions that compound over years, and he will recommend against building software when buying or not building is the better call. InfoWebPlus is headquartered in Manilva, Málaga, on the Costa del Sol, and works remotely across Europe.
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Areas of expertise

Topics George writes and builds around on InfoWebPlus.

  • Software ownershipHow technical decisions compound after launch.
  • AI implementationPragmatic AI wired into real workflows.
  • Automation systemsWorkflow automation that removes manual steps.
  • Build vs buyWhen to build, buy, or not build at all.
  • Business systemsInternal tools and operational software.
  • Technical SEOCrawlability, entity SEO, and durable search visibility.

Writing on InfoWebPlus

Jun 15, 2026·George Barbu

LLM Hallucination in Business Contexts: Risk Profiles by Use Case

Key finding: Business risk of LLM hallucination is determined by the combination of error detectability, error reversibility, and error exposure scope, not by hallucination rate alone.

  • AI Implementation
  • Llm Risk
  • Hallucination
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Jun 10, 2026·George Barbu

The Internal Tool Lifecycle Model - Version 1.0

Internal tools don't fail randomly. They follow a predictable lifecycle with recognizable failure signals at each phase. A named framework for understanding what happens to internal tools over time, and what interventions are available at each stage.

  • Internal Tools
  • Software Lifecycle
  • Business Systems
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Jun 8, 2026·George Barbu

When We Recommend Against Building Custom Software: A Documented Pattern

Occasionally the right answer is to not build at all. This documents the pattern behind those recommendations, what we look for in discovery, how we reason through the total cost comparison, and what we observe in the decisions that follow.

  • Build Vs Buy
  • Custom Software
  • Saas
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Jun 4, 2026·George Barbu

AI Employees Are Solving The Wrong Problem

AI employees solve labor bottlenecks, and that is real value. For many operators, the binding constraint is attention, not headcount. Why the emerging AI Operator category addresses a different problem.

  • AI Implementation
  • AI Strategy
  • Business Operations
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Jun 1, 2026·George Barbu

Before You Commit to an AI Feature, Answer This: Who Maintains It in Month 18?

The question isn't whether AI is capable enough. It's whether you're prepared to maintain an AI-powered feature at a production standard for 18 months. Most decisions to add AI are made without answering this.

  • AI Implementation
  • AI Maintenance
  • AI Cost
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