Author — Founder & Engineer, SongForgeAI

Posts by Todd Nigro

Solo-built SongForgeAI. Background in engineering + songwriting; writes about craft, rubrics, and what separates competent AI output from the kind someone would record.

Profile Contact via SongForgeAI support

30 posts

Producttoday4 min read

SongForgeAI Launches to Solve AI Music's Lyric-Quality Problem

SongForgeAI launches as a lyrics-first songwriting engine that scores songs against a published, open standard — built to fix AI music's weakest link: the words.

Product1 week ago6 min read

Not a Song — a Whole Album: Introducing the Showcase Albums

Two full concept albums forged with SongForgeAI — one seed, one palette, a dozen tracks that sequence into a single emotional world. Lyrics and Suno-ready style strings for every track.

Behind the Scenes1 week ago8 min read

How a Concept Album Holds Together: Inside 'The Grief Is Smaller Than the Room'

A track-by-track look at how a 12-song concept album becomes one record instead of a playlist: a palette that withholds then opens, a recurring wordless hum, and an afterlife set in a laundromat.

Product2 weeks ago7 min read

RFC-0010: Five Open Questions on the Fidelity Standard

We published the Fidelity Standard v0.1.0 last week. The numbers are operator-locked but open for public comment. Here are the five questions we genuinely want outside input on before v1.0.0 ships.

Product2 weeks ago8 min read

Introducing the Fidelity Standard v0.1.0

A song can score 90 on quality and still be the wrong song. Quality and fidelity are orthogonal questions. Today we publish the seven-component composite that measures the second one.

Behind the Scenes2 weeks ago6 min read

The fix-side evidence rule: don't ship a 'this fixes X' change without measuring X

Three builds in a row, each shipping a fix that depended on the previous build's inference being correct. We did this. We named it. Here is the rule we now live by.

Tips & WorkflowMay 1212 min read

Best AI lyric generators of 2026: an honest comparison

Five tools, scored on output quality, transparency, pricing, and copyright posture. SongForgeAI is one of them — disclosed upfront. Here is how each one actually performs against a real songwriting brief.

SongwritingMay 1211 min read

Are AI lyrics copyrightable in 2026? A songwriter’s guide

The US Copyright Office says AI-only output isn’t copyrightable. AI-assisted lyrics CAN be, if you can prove human authorship. Here is the legal frame, the practical threshold, and what evidence holds up.

SongwritingMay 129 min read

The 11 AI lyric clichés that mark your song as AI-generated

AI lyric generators have tells. After scanning thousands of forged drafts against 87 banned terms, eleven words show up far more than anything else — and they’re the eleven that flag your song as machine-written. Here they are, why they fail, and what to replace them with.

Tips & WorkflowMay 1210 min read

Suno prompts that survive an adversarial critique

Most Suno prompt guides are template lists. We took 50 popular Suno prompts and ran them through our 8-voice adversarial Crucible. Seven prompt patterns survived; seven collapsed. Here are the patterns, why they work, and the rubric scores.

SongwritingMay 1111 min read

12 lyric registers most AI can’t produce — and what they sound like

The default AI lyric voice is workshopped, lightly literary, and gender-neutral. Twelve registers most generators can’t access: child narrator, dying parent, foreigner mid-language, twin, religious convert, jaded ex, and six more. With example snippets.

Behind the ScenesMay 1013 min read

Cross-language rubric bias: our Italian songs scored higher than our English ones — here’s why

We ran identical briefs through the SongForgeAI rubric in seven languages. Italian and Spanish songs averaged 3.4 points higher than English. Here is the bias audit, the cause, and what we shipped.

SongwritingMay 810 min read

Why your AI lyric sounds like mood, not song — and the one question that fixes it

Most AI lyrics describe a feeling without ever saying what it cost. The Cost Question — "What did the narrator give up to write this?" — separates lyric from mood-board copy. The full method, with before/after examples.

Behind the ScenesMay 66 min read

We just audited every button on the site. Here’s what we found.

Five parallel agents, eighty pages, every clickable element traced to its destination. Three production 404s, one dead-code conditional, a Stripe portal landing on the wrong tab. Here is the receipt.

SongwritingMay 56 min read

Reading your lyric score: what each band actually means

Most AI lyric tools score everything 80+. Ours doesn’t. A 60 in our rubric is above average; a 75 is genuinely strong; an 85 is rare. Here is how to read the number you got.

Behind the ScenesMay 45 min read

How a CI ratchet replaces a code review (and why it matters to you)

A “ratchet” is a CI gate that only moves one direction: better. We have 38 of them. This week one of them hit zero. Here is what that means for the tool you use.

Behind the ScenesApr 306 min read

How we measure chorus compression — and why it matters more than emotion.

External reviewers kept flagging the same gap: choruses that are emotionally correct but musically forgettable. So we built an analyzer that measures the structural compression that makes a chorus chant-able. Here is how it works, what it doesn’t do, and why we shipped instrumentation before scoring.

Behind the ScenesApr 277 min read

How we shipped Italian opera + Gregorian chant in six builds.

One operator question ("I don’t see how to do a Gregorian chant") exposed a bug class: capabilities registered in code with no user click-path. Six builds later: two new ghost voices, six new genres, a pure-mode prompt path, and two CI ratchets that prevent the bug class from shipping again.

ProductApr 279 min read

Per-line authorship for AI-assisted lyrics. Receipts that hold up.

A signed JSON receipt for every forged song that names which lines were AI-generated, which were human-edited, and which were preserved verbatim. Built for the songwriter who needs to defend their copyright claim, the label that needs to vet a submission, and the lawyer who needs evidence that holds up.

ProductApr 278 min read

The lyric AI that gets sharper for you with every song

Most lyric tools are templates — they produce the same average output for everyone. SongForgeAI now ships a per-user weakness profile that injects into every forge as active bias, training the prompt directive toward each writer’s specific blind spots. The compounding loop, end to end.

Behind the ScenesApr 2711 min read

We rewrote the forge as a state machine. The cutover took five days.

A two-pipeline migration that most teams take a quarter to complete shipped in five builds. Not because it was easy — because three years of strangler-fig discipline factored V1 into reusable modules years before V2 needed them. A retrospective on the build sequence, the 3:1 reuse ratio, and the architectural debt we deliberately did not pay.

Behind the ScenesApr 269 min read

How a single missing config flag silently disabled our error tracking for 24 builds

A debug post-mortem. Sentry was installed, configured, and visibly invoked from server code — but no events ever reached the dashboard. The bug was three layered failures, each one masked by the next. Here is the trail and the durable lessons.

SongwritingApr 247 min read

Narrative Voice: the metric AI lyric tools fail hardest

The fifth rubric essay. Voice is what separates "a breakup song" from THIS narrator’s breakup song — and it’s the single metric where most AI output still sounds like a model writing through a costume rather than a person with a specific background.

Behind the ScenesApr 2410 min read

Anatomy of a Forge: one song from prompt to final score

A full walkthrough of what happens between the moment you type a prompt and the moment a finished song shows up on the page. Seven internal phases, two scoring runs, one real example traced from "a heartbreak on a Tuesday" to a 78-composite country ballad.

SongwritingApr 246 min read