AI & Brand · Brand
Lock in your look and voice once — every AI send stays on-brand.
Default generative AI is trained on the average of the internet, so it sounds like everyone else. Flash starts from your real brand — discovered from a name or URL, measured, and enforced on every send.
The problem
AI that doesn't know your brand produces work no one can ship.
Off-brand on arrival
Generic AI guesses your colors, voice, and type — so the first draft already needs a rewrite.
Brand lives in someone's head
Your real palette, banned words, and tone aren't machine-readable, so consistency depends on who's at the keyboard.
Compliance is an afterthought
Legal footer details — company, address, unsubscribe — get fabricated or forgotten, exposing every send.
How it works
Discover the real brand, then measure how it speaks.
From a name or a URL, Flash runs a four-tier discovery cascade that can't fail, then learns your voice from your own words using deterministic stylometry — not a guess from an LLM.
Four-tier discovery, never-throws
Cache → official-site scrape → OpenAI web search → LLM backstop, all inside an 8-second budget. Any error falls through to an empty result instead of crashing the flow.
- Scraping is regex-based over the official site, with JSON-LD parsing that drops PII by design.
- SSRF guard, robots check, byte caps, and per-host rate limiting harden every fetch.
- Address and other legal fields are trusted only from the official site — the LLM never invents them.
Brand voice, measured not guessed
Phase A computes sentence length, second-person ratio, emoji density, contraction rate and reading grade from your copy — mapping them to a four-axis voice. LLM inference is only a fallback when there's too little text to measure.
Why it's different
Brand as the source of truth that locks every output.
Structured brand guardrails are the validated way to keep AI on-brand and capture the 10–33% consistency upside. Flash enforces them by construction.
Typical approach
Generic AI generators
No brand constraints — output drifts to the internet average.
Flash, by design
Brand discovered, measured, and enforced on every AI output.
Typical approach
Tone-slider assistants
A coarse dial, not your actual voice.
Flash, by design
A measured four-axis voice from your own copy, with preferred and banned terms.
Typical approach
Manual brand decks
A PDF humans are supposed to remember.
Flash, by design
A machine-readable Brand Kit the generation pipeline obeys automatically.
AI & innovation
On-brand by construction, not by prompt.
The 2025 best practice for on-brand AI is a structured, machine-readable Brand Voice DNA. Flash builds one from your real site and wires it into the generation loop as an enforced constraint.
Real brand, not training memory
Discovery prefers your official site over the LLM's average — the fix for inaccurate brand colors and voice.
Explainable voice
Deterministic stylometry means the voice is computed and auditable, not an opaque model opinion.
Compliance-aware capture
Legal fields trusted only from the source site; PII actively discarded from scraped JSON-LD.
What changes for the business
Your brand becomes a system every AI send obeys — discovered from your real site, measured, and enforced.
4-tier
discovery that resolves every time, never throws
8s
total budget for discovery, hardened end to end
Enforced
brand re-applied after every generation step