AI cost control: separating model metadata and prices from app releases
Manage AI spending with versioned model metadata, rate history, event-time cost estimates, usage ownership and reconciliation with provider bills.
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AI
Technology updates and practical implications for projects.
PDF retrieval: preserving meaning in tables and charts
Choose between text and visual PDF retrieval, evaluate source pages and distinguish a correct citation from a correct numerical answer.
Read articleKnowledge graphs or vector RAG: choosing by the question
Choose knowledge graphs or vector RAG by query type, relationship needs, source provenance, fact freshness and maintenance responsibilities.
Read articleHybrid search: why tokenization matters alongside embeddings
Why hybrid search misses identifiers, versions and accented words. Test BM25 tokenization and embeddings against representative queries.
Read articleAI support conversation design: tone, clarification and human handoff
Design AI support conversations with useful clarification, concise answers, topic changes and human handoffs that preserve customer context.
Read articleAI support knowledge: preparing answers alongside a product release
Prepare AI support knowledge for a release: plan eligibility, older versions, accountable owners, test questions and corrections after launch.
Read articleVoice AI for sales: deciding whether to build or buy
How to choose voice AI: compare telephony ownership, human handoff, CRM integration and the cost of keeping the service running.
Read articleAI agent reliability: keeping control of the workflow
How to limit an AI agent's authority, separate context from rules and investigate errors before expanding automation.
Read articleAI visibility: measuring brand recommendations without promising rankings
A practical framework for measuring brand visibility in AI answers: scenarios, errors, repeatable checks and links to customer enquiries.
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