Render error recovery for multi-step Firefly workflows

A designer using AI generation inside Firefly for a campaign runs a generative fill or background replacement that takes several minutes, only to get a vague error or a visually wrong output — and has to start from scratch with no record of what prompt, mask, or setting produced what result. The complaint about 'a 5-hour render with a mistake I could have caught in Photoshop' is the extreme case of a broader pattern: when generative renders are slow, every iteration is expensive, and there's no audit trail to understand what went wrong or what worked.

This gap persists structurally because Firefly's render history is session-scoped and disappears on refresh or app restart. Adobe's incentive is to keep users in the generative credit consumption loop — a detailed history of what each generation cost in credits, time, and quality would surface exactly how unpredictable and expensive the process is. That's not a log Adobe wants to make prominent.

For a designer billing hourly or managing a team using generative credits, an unrecoverable failed render isn't just annoying — it's a direct financial loss and a project timeline hit. There's no way to re-run the last generation with a tweak, no way to compare two outputs side by side against their prompts and settings, and no way to know if a slowdown was a Firefly server issue or a local one. A generation history logger that captures prompt text, settings, output thumbnails, render duration, and credit cost per generation — stored locally and searchable — solves a problem that recurs every single session for any power user.

What to build

Build a browser extension for Firefly's web interface that intercepts and logs each generation request — capturing the prompt, style settings, seed, render duration, and output thumbnail — stores them locally in a searchable library, and lets the user re-run any past generation with one click or export the full session log as a CSV.

Where to start

Target creative teams at agencies who are already tracking Firefly credit consumption manually in spreadsheets because their finance team requires it — they have a compliance-driven reason to pay for logging that goes beyond personal convenience, and the sale is justified by the bookkeeping it replaces.

The hard part

Firefly's web interface isn't built for third-party extension hooks, so capturing generation parameters reliably without Adobe changing their front-end markup and breaking the extension requires a fragile DOM-scraping approach — meaning every major Firefly UI update is a potential outage for paying customers.

How it makes money

Free tier for individual users (last 50 generations stored); $12/month per seat for teams with unlimited history, CSV export, and shared team library access.