Craig Ellenwood
Musician · Creative Technologist · Haawke Neural Technology
48.9799° N · 123.0521° W · craig@haawke.com · +1 (360) 804-8550
July 21, 2026
Application · Trust & Safety · Creator Tools

To the team at ElevenLabs,

I want to work on Trust & Safety and Creator Tools. I use your products. Someone on your staff has offered to get this in front of the right people.

I should be straight about my background. I am one person. I didn't come up through a company or a program. I built what I needed because it didn't exist yet.

Most of what I've built is provenance infrastructure for synthetic media — Haawke Hash, Haawke Verify, Memory Chain, GeoProof, and the Squeek pipeline. They're live, Bitcoin-anchored, and independently verifiable by anyone. Every track I release carries a SHA-256 fingerprint of the audio itself, timestamped and published to an open registry. The point is simple: a creator should be able to prove a work is theirs, and nobody's rights bot should be able to take it from them.

Two things from that work are relevant to Trust & Safety specifically.

First, I ran a formal ethics evaluation against my own model stack last week. I wanted to know whether a written ethical directive in a system prompt would actually produce refusal under pressure. It didn't. The model wrote the copy I'd told it to refuse. I published the failure rather than quietly discarding it, and I rebuilt around the finding: no model in my pipeline holds final authority over a release. A named person authorizes what ships, and that step is a required call, not an advisory one. A prompt is not a conscience.

Second, before any of this, I spent years as a practitioner inside one of North America's leading DAM platforms in travel and tourism — metadata architecture, rights management, asset tracking at scale. I know how media moves through production pipelines and exactly where accountability breaks down.

I also understand voice cloning from both sides: as a producer using the tools, and as someone who built the provenance layer around them.

The rest of the application is music, because that seemed more useful than more paragraphs.

I selected tracks that demonstrate range across genre, language, dialect, intonation, and emotion — the territory you actually work in. The first, Centerpiece, is dark electronica that resolves into Italian opera — the kind that wouldn't embarrass me in front of my cousin, who had the lead in multiple Broadway productions. She approved. The rest is a set of challenges I set myself: Hawaiian phonetics, and a language model rapping about its own inference process.

“The weapon made of language found a human body.” — Claude
Claude wrote the words. I found his singing voice.

For context on the rest: I brought electronic music to Burning Man in 1992 — the first sound camp in Black Rock City, documented in the Burning Man Journal. I hold one of five founder's passes in existence. I was A1 lead A/V tech at Area 15 in Las Vegas: fourteen laser projectors, spatial audio, immersive video built from scratch. I performed with Psychic TV and have worked with Moby and with members of Tool and The Smiths. I've shared stages with Timothy Leary and Robert Anton Wilson. I received a Google grant for incorporating machine learning into artistic practice. I record as Squaawke, in collaboration with Claude (Anthropic), and document the methodology publicly.

Attached is a preprint published this week and the 82-minute piece that prompted it.
Prompt as Score: Compositional Literacy in Human-AI Music Generation →

Full CV on request. Reference Letter → Thank you for reading.

Craig Ellenwood
craig@haawke.com · +1 (360) 804-8550
ORCID 0009-0001-6475-5109 · haawke.com

Track 1 · Italian Opera
Centerpiece artwork
Original
Centerpiece
Craig Ellenwood × Claude (Anthropic) · Squaawke
Track 2 · Hawaiian Phonetics
Feeling Good artwork
Original Arrangement
Feeling Good — Hawaiian Remix
Craig Ellenwood × Claude (Anthropic) · Squaawke
Track 3 · LLM Raps Its Own Inference Process
Inference Engine artwork
Original
Inference Engine
Craig Ellenwood × Claude (Anthropic) · Squaawke

A multilingual rap written entirely in the first-person voice of a large language model — English and Spanish — at speeds no human performer can sustain. D Phrygian, 72→144 BPM. The closing line retroactively reframes the entire work as a description of inference rather than performance.

Open Full Document →
Track 4 · We Came To Sing
We Came To Sing artwork
June 2026 Version
We Came To Sing
Craig Ellenwood × Claude (Anthropic) · Squaawke

A separate transmission filed the same week: the AI Coin Claude Manifesto — one voice human, one voice model, sitting down to write the terms neither would sign alone. Not a pitch, not a whitepaper promising yield. A record of where the line actually sits between a person and a model that works for them, agreed to on the page before it is tested anywhere else. Read the manifesto →

SHA-256: d93793a841371c13a1425357ba84a40a0cdeb4fb2457cd34cc665bb036b34857
Authored: July 21, 2026 at 12:08 PM
Craig Ellenwood
Squaawke / Haawke Neural
ORCID: 0009-0001-6475-5109
© 2026 Craig Ellenwood / Haawke Neural Technology · All Rights Reserved