# frankvitetta.net

> AI implementation consultant in London. I help teams get their data ready for AI and run AI privately. I also explain big data in plain language.

This is the personal site of Frank Vitetta, an AI implementation consultant based in London. Every article cites its sources at the end. Contact is through the form at https://frankvitetta.net/contact/.

## Field notes


- [Open table formats explained: Iceberg, Delta, Hudi](https://frankvitetta.net/field-notes/open-table-formats-iceberg-delta-hudi/): What a lakehouse is. How Apache Iceberg, Delta Lake and Apache Hudi turn files into tables. Where each format stands in October 2026.


- [Prompt length vs brand mentions: 8,555 ChatGPT answers](https://frankvitetta.net/field-notes/prompt-length-brand-mentions-chatgpt/): 8,555 ChatGPT responses by prompt length. Mention rate peaks at 35 to 69 characters and is 6.5% at 120 and over. One weak bucket rests on 40 responses.


- [When data is not big: DuckDB and single-machine analytics](https://frankvitetta.net/field-notes/when-data-is-not-big-duckdb/): Single-machine engines such as DuckDB question whether analytics needs a distributed cluster. The evidence on both sides, with sources.


- [Meta Muse and AI agents: an 11-point website checklist, checked](https://frankvitetta.net/field-notes/meta-muse-ai-agents-checklist/): A viral 11-point list says how to get recommended by Meta Muse. Each point checked against what Meta, OpenAI, W3C and Google document.


- [Data quality before AI: dimensions and standards](https://frankvitetta.net/field-notes/data-quality-before-ai/): Retrieval and analytics systems inherit the flaws in their data. The six quality dimensions and what ISO/IEC 25012, ISO 8000 and DAMA UK define.


## Pages

- [Home](https://frankvitetta.net/): AI implementation consultant in London. I help teams get their data ready for AI and run AI privately. I also explain big data in plain language.
- [Code Scout: a free local AI coding agent](https://frankvitetta.net/code-scout/): Code Scout is a free desktop AI coding agent that can run local models, so your code stays on your machine. What it does and where to download it.
- [Big data concepts: 20 plain definitions](https://frankvitetta.net/concepts/): Short, sourced definitions of 20 big data terms, from lakehouse and open table format to OLAP and data quality dimension.
- [Contact](https://frankvitetta.net/contact/): Reach Frank Vitetta through the contact form. For enquiries about private AI and data readiness consulting, questions and corrections.
- [Field notes on big data](https://frankvitetta.net/field-notes/): Sourced, plain-language notes on data platforms, table formats, analytics engines and data quality, for marketers, analysts and decision makers.
- [Private AI Consultant | Local AI and data readiness](https://frankvitetta.net/hire-me/): Private AI consultant in London. AI data readiness audits, local LLM implementation and team training. A written fixed-price proposal before work starts.
- [Method, sources and disclosures](https://frankvitetta.net/method/): How I research field notes with AI assistance and edit them myself, plus my sourcing rules, corrections policy and disclosures.
- [Privacy and cookies](https://frankvitetta.net/privacy/): No cookies, no analytics and no third-party scripts. What happens to the details you type into the contact form and what the host logs.
- [About Frank Vitetta | AI implementation consultant](https://frankvitetta.net/who/): Frank Vitetta is a London-based AI implementation consultant. He helps teams get data ready for AI and run it privately. In search marketing since 2008.

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