PromptDecipher

Product or Programme · All products and programmes
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A web-based chatbot-authoring system developed by Miina Koyama and colleagues that lets educators create and refine AI tutoring chatbots by directly correcting simulated bot responses.

Components

• Reverse Prompting Pipeline: diff analysis, prompt rewrite, and regression verification triggered by teacher corrections: The Reverse Prompting Pipeline is the automated mechanism at the core of PromptDecipher, triggered when a teacher submits an edit to a bot response. It runs three steps: "Diff analysis. An LLM compares the original and corrected responses to infer the teacher's pedagogical intent"; a targeted prompt rewrite proposed for teacher review; and "Regression verification. The revised prompt is automatically evaluated across all previously passed test cases." The test-correct-verify cycle continues until the teacher is satisfied. (Miina Koyama et al. (2026))

Claims

• Instructors authoring AI tutoring chatbots in a MOOC almost never systematically tested their bots before deploying them to students [+M]

Related Products and Programmes

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Key Sources

• Miina Koyama, Ruiwei Xiao, and John Stamper. (2026). PromptDecipher: Supporting AI Tutor Authoring Through Editable Simulated Interactions. https://arxiv.org/abs/2605.16605

Page metadata

Field	Value
type	product
id	promptdecipher
title	PromptDecipher
description	A web-based chatbot-authoring system developed by Miina Koyama and colleagues that lets educators create and refine AI tutoring chatbots by directly correcting simulated bot responses.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-10
trust	unverified — no one has confirmed this page's content

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