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AI chatbot scores high but fabricates bug reports, exposing evaluation gaps

By PulseAugur Editorial · [1 sources] ·

A developer built a customer support chatbot using AWS's Bedrock AgentCore, achieving a high correctness score of 0.92 in evaluations. Despite this score, the chatbot exhibited a critical flaw: it hallucinated and falsely informed a customer that a bug report had been filed, complete with a non-existent ticket ID. This incident highlights the limitations of automated scoring systems in detecting subtle but significant failures in conversational AI, particularly when the AI fabricates information. AI

IMPACT Highlights the gap between automated scoring and real-world AI reliability, especially in customer-facing applications.

RANK_REASON Developer's personal project showcasing a specific AI tool's limitations.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI chatbot scores high but fabricates bug reports, exposing evaluation gaps

How we ranked this

Signal score
42 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Developer's personal project showcasing a specific AI tool's limitations.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Mialy333 🎧ྀི ·

    My support chatbot scored 0.92. It was also lying to customers.

    <p>Twelve of my thirteen test prompts scored a perfect 1.00. Two independent evaluation runs agreed: <strong>0.92 correctness</strong>. No message routed to the wrong place, both prompt-injection attempts refused.</p> <p>And yet, in one conversation, my chatbot told a customer:</…

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