Your Clients, Our Content
kevinX is simple. Our experience-based SMB skills content powers an extensive knowledge base enabling banks, insurers, and tech firms to energize any AI agent, CMS, and LMS system.
Platform agnostic content. Drop an SMB intelligence layer into your AI, CMS, or LMS stack in minutes. Your brand, your security, your customer relationships.
Better tools drive deeper SMB customer relationships, faster adoption, and more revenue.
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CONTENT
Microlessons, ebooks, and playbooks addressing SMB topics.
KNOWLEDGE BASE
Collection of customer, leadership, marketing, and sales content.
INTELLIGENCE LAYER
RAG chunked knowledge base to power any AI, CMS, or LMS stack.
✦ ONE SOURCE. MANY OUTPUTS
✳︎ BUILDER READY – Machine-readable, built for builders. Collection of structured customer engagement, leadership, marketing, and sales skills content – delivered in formats your AI stack or system can easily work with.
Formats: JSON, JSONL, MARKDOWN source, OMNIBUS, TXT
✳︎ STRUCTURED CONTENT – Human-readable 500+ microlessons and 25+ eBooks & playbooks in customer engagement, leadership, marketing, and sales.
Formats: DOC, HTML, PDF
✦ INTELLIGENCE LAYER
The following two formats are purpose-built for RAG (Retrieval-Augmented Generation) agents. They are also well suited for IDP (Intelligent Document Processing) agents.
JSONL is a RAG-based, chunked-text architecture & embedded metadata. with one record per line, stable IDs, and an embed-ready full-text field. Each record also includes a paragraphs array, where each entry may contain one or more paragraphs grouped into a single chunk for analysis. Full metadata included: title, description, tips, categories, and keywords. Perfect for nuanced results.
OMNIBUS is for builders creating a generative AI application and want a content collection with RAG-based, chunked-text architecture & embedded metadata. Ships with full content plus five metadata fields: title, description, tips, categories, and keywords. Chunks and metadata are at the microlesson level. Excellent for returning single microlessons.
✦ FAQ
Question: What are the differences between content, knowledge base, and an intelligence layer?
Answer: (1.) Content consists of individual microlessons, eBooks, and playbooks. (2.) Knowledge base is a large collection of content organized into a single file. (3.) Intelligence Layer is a RAG-chunked, formatted knowledge base with metadata that can be easily embedded into an AI, CMS, or LMS stack.
Question: What topics are covered?
Answer: Customer engagement, leadership, marketing, sales.
Question: How is it delivered?
Answer: Via an email link to Dropbox. Download folder/files, READMEs, DATA DICTIONARIEs. and metadata catalog.
✦ TECH NOTES
Every product file ships with companion resources:
DATA DICTIONARY – Describes the structure, content, and meaning of data elements for each product file.
METADATA CATALOG – An XLSX with a description, practical tips, categories, and keywords for every microlesson, eBook, and playbook.
README – Tells you what you have and how to use it.
✦ QA PROCESS
Every deployment format is audited against the parent TXT source files to ensure complete content fidelity across JSON, JSONL, and OMNIBUS outputs.
Our proprietary validation process verifies word counts, character counts, and file parity to maintain a clean, reliable intelligence layer.
How kevinX Delivers Better AI Responses
Let’s talk about RAG, chunking, and metadata, and how kevinX leverages them for your benefit.
RAG stands for Retrieval-Augmented Generation. It’s the method AI systems use to retrieve the right data when answering questions in a chatbot session.
kevinX formats client knowledge bases using a chunking technique. Instead of thousands of words in a single file, the content is broken into smaller, digestible chunks at both array and paragraph levels.
Beyond chunking, the knowledge base also contains metadata. Each microlesson, eBook, and playbook includes metadata such as title, description, value proposition, categories, and keywords.
The kevinX Intelligence Layer enhances the RAG process by enabling simultaneous searches across both content chunks and metadata.
The result is responses that are accurate, concise, and relevant. In other words, fewer hallucinations and better responses.
For content licensing: Call or text kevinX.ai at (855) 431-0522 or send us a note.
