Couverture de The Architecture of Persistent Context: Why Your Prompting Strategy is Failing

The Architecture of Persistent Context: Why Your Prompting Strategy is Failing

The Architecture of Persistent Context: Why Your Prompting Strategy is Failing

Écouter gratuitement

Voir les détails

À propos de ce contenu audio

 Most organizations believe Microsoft 365 Copilot success is a prompting problem. Train users to write better prompts, follow the right frameworks, and learn the “magic words,” and the AI will behave. That belief is comforting—and wrong. Copilot doesn’t fail because users can’t write. It fails because enterprises never built a place where intent, authority, and truth can persist, be governed, and stay current. Without that architecture, Copilot improvises. Confidently. The result is plausible nonsense, hallucinated policy enforcement, governance debt, and slower decisions because nobody trusts the output enough to act on it. This episode of M365 FM explains why prompting is not the control plane—and why persistent context is. What This Episode Is Really About This episode is not about:Writing better promptsPrompt frameworks or “AI hacks”Teaching users how to talk to CopilotIt is about:Why Copilot is not a chatbotWhy retrieval, not generation, is the dominant failure modeHow Microsoft Graph, Entra identity, and tenant governance shape every answerWhy enterprises keep deploying probabilistic systems and expecting deterministic outcomesKey Themes and Concepts Copilot Is Not a Chatbot We break down why enterprise Copilot behaves more like:An authorization-aware retrieval pipelineA reasoning layer over Microsoft GraphA compiler that turns intent plus accessible context into artifactsAnd why treating it like a consumer chatbot guarantees inconsistent and untrustworthy outputs. Ephemeral Context vs Persistent Context You’ll learn the difference between:Ephemeral contextChat historyOpen filesRecently accessed contentAd-hoc promptingPersistent contextCurated, authoritative source setsReusable intent and constraintsGoverned containers for reasoningContext that survives more than one conversationAnd why enterprises keep trying to solve persistent problems with ephemeral tools. Why Prompting Fails at Scale We explain why prompt engineering breaks down in large tenants:Prompts don’t create truth—they only steer retrievalManual context doesn’t scale across teams and turnoverPrompt frameworks rely on human consistency in distributed systemsBetter prompts cannot compensate for missing authority and lifecycleMajor Failure Modes Discussed Failure Mode #1: Hallucinated Policy Enforcement How Copilot:Produces policy-shaped answers without policy-level authoritySynthesizes guidance, drafts, and opinions into “rules”Creates compliance risk through confident languageWhy citations don’t fix this—and why policy must live in an authoritative home. Failure Mode #2: Context Sprawl Masquerading as Knowledge Why more content makes Copilot worse:Duplicate documents dominate retrievalRecency and keyword density replace authorityTeams, SharePoint, Loop, and OneDrive amplify entropy“Search will handle it” fails to establish truthFailure Mode #3: Broken RAG at Enterprise Scale We unpack why RAG demos fail in production:Retrieval favors the most retrievable content, not the most correctPermission drift causes different users to see different truths“Latest” does not mean “authoritative”Lack of observability makes failures impossible to debugWhy Copilot Notebooks Exist Notebooks are not:OneNote replacementsBetter chat historyAnother place to dump filesThey are:Managed containers for persistent contextA way to narrow the retrieval universe intentionallyA place to bind sources and intent togetherA foundation for traceable, repeatable reasoningThis episode explains how Notebooks expose governance problems instead of hiding them. Context Engineering (Not Prompt Engineering) We introduce context engineering as the real work enterprises avoid:Designing what Copilot is allowed to considerDefining how conflicting sources are resolvedEncoding refusal behavior and escalation rulesStructuring outputs so decisions have receiptsAnd why this work is architectural—not optional. Where Truth Must Live in Microsoft 365 We explain the difference between:Authoritative sourcesControlled changeClear ownershipStable semanticsConvenient sourcesChat messagesSlide decksMeeting notesDraft documentsAnd why Copilot will always synthesize convenience unless authority is explicitly designed. Identity, Governance, and Control This episode also covers:Why Entra is the real Copilot control planeHow permission drift fragments “truth”Why Purview labeling and DLP are context signals, not compliance theaterHow lifecycle, review cadence, and deprecation prevent context rotWho This Episode Is For This episode is designed for:Microsoft 365 architectsSecurity and compliance leadersIT and platform ownersAI governance and risk teamsAnyone responsible for Copilot rollout beyond demosWhy This Matters Copilot doesn’t just draft content—it influences decisions.And decision inputs are part of your control plane. If you don’t design persistent context:Copilot will manufacture authority for youGovernance debt will compound quietlyTrust...
Les membres Amazon Prime bénéficient automatiquement de 2 livres audio offerts chez Audible.

Vous êtes membre Amazon Prime ?

Bénéficiez automatiquement de 2 livres audio offerts.
Bonne écoute !
    Aucun commentaire pour le moment