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Context Engineering

When Web Search Becomes Strategy Validation: Using a Market Lens to Pinpoint Research from an RFP

October 4, 2026 by Peter
An RFP SIGNAL document with varied technical terms narrows through a RELEVANCE GATE and DEAL SIGNAL into a CANONICAL MARKET LENS containing a STRATEGIC QUESTION and CURRENT WEB EVIDENCE, while Peter observes on the right.

Instead of expanding RFP keywords into broad searches, combine Deal Signals with a Canonical Market Lens, define the evidence required, and use Web Search to validate strategy-relevant deltas.

Categories Enterprise AI Tags Context Engineering, Enterprise AI, Market Intelligence, RFP, Web Search Agent

Teaching a Web Search Agent How Your Company Sees the Market: Canonical Market Lens and the LLM Wiki

October 4, 2026 by Peter
A layered architecture shows enterprise documents and research flowing into an LLM Wiki, then a Canonical Market Lens and Web Search Agent. A separate Web Evidence stream enters a Candidate Delta and validated continuity path, with the Peter gorilla character on the right.

Instead of re-injecting market reports, competitor research, and company capabilities into every prompt, maintain them in an LLM Wiki and compile a reusable Canonical Market Lens for enterprise Web Search.

Categories Enterprise AI Tags Context Engineering, Enterprise AI, LLM Wiki, Market Intelligence, Web Search Agent

Enterprise RAG Should Not Start with Search: Narrow the Retrieval Space with Deal Context First

October 4, 2026 by Peter
A Deal Context card narrows an Enterprise Knowledge document store through Retrieval Scope and Eligible Sources, then passes selected material through Semantic Retrieval into Model Context, with Peter beside the funnel.

Enterprise RAG needs a business-valid retrieval scope before semantic ranking begins. This article explains how Deal Context and a Retrieval Scope Contract can constrain the candidate corpus before embeddings and rerankers do their work.

Categories Enterprise AI Tags Context Engineering, Deal Intelligence, Enterprise AI, Enterprise RAG, Retrieval

The 95% AI Pilot Failure Number Is Not the Real Story

September 12, 2026September 3, 2026 by Peter
Enterprise AI workflow and context architecture showing the system boundaries around LLM judgment

The 95% Number Is a Signal, Not the Conclusion When I first saw the “95%” figure, the number itself was not the part that stayed with me. A failure rate that dramatic is easy to repeat, but it can also flatten a much more useful question: why do capable models, serious vendors, and well-funded pilots … Read more

Categories Enterprise AI Tags Agentic AI, Context Engineering, Workflow Design

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