GeezerVison

GeezerVison is showing https-deeplearning-ai.github.io — Context Engineering Course — Interactive Trajectory Visuals

Module 1

Failure Modes in Multi-Turn Agents

Context Poisoning

Trajectory 1: Customer Service Agent

An agent handling shoe size exchanges ingests unindexed, conflicting legacy documentation (30-day cutoff), poisoning its reasoning and wrongly rejecting an eligible request under the 60-day policy.

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Rapid Saturation

Trajectory 2: Customer Service Agent

Multi-hop logistics queries for regional inventory stock and freight dispatch return large, unpruned payloads, causing explosive context growth and saturating the token budget.

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Module 2

Agentic Search & Retrieval

Strategy Mismatch

Trajectory 1: FreshCart Coding Agent

The agent attempts to locate exact code constants using pure vector semantic search and policy concepts using keyword search, failing to adapt or recover without hybrid retrieval.

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Naive Chunking

Trajectory 2: FreshCart Coding Agent

Fixed character-count splitting without language-aware AST parsing splits model validation logic across boundaries, leading to hallucinated data constraints.

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Module 3

Context Formatting & Compaction

Compaction Erosion

Trajectory 1: Cinema Research Agent

Compacting summaries of summaries across turns progressively strips vital clues (jazz score, European jury award) needed to identify an obscure animated film.

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Missing Pointer

Trajectory 2: Cinema Research Agent

Externalizing full document bodies to a scratchpad without returning the external document ID pointer strands retrieved records outside the agent's reach.

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Module 4

Agent Memory & State Persistence

Memory Deduplication

Trajectory 1: Doctor's Appointment Assistant

Demonstrates memory writing pipelines reconciling newly paraphrased patient preferences against long-term vector memory to prevent duplicate rule entries.

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Forgotten Rules

Trajectory 2: Doctor's Appointment Assistant

A stateless assistant using exact flat-file keyword search fails to equate "Friday" with "end-of-week", forgetting user preferences across sessions.

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