CrawlQStudio

The mechanism, in plain numbers

Most AI tools make you the memory. You pay to re-teach them your brand on every message.

CrawlQ keeps a living Brand Memory and wakes up only the parts that matter to your question. Same depth, a fraction of the waste. Here is the honest mechanism — and an illustrative comparison so you can see the shape of it.

The hidden tax

The re-teaching tax

A raw chatbot forgets you between every message. To get on-brand output, you re-paste your brand context each time — and that context is billed as input tokens, every single message.

Raw LLM workflow (ChatGPT / Claude chat)

  • • Paste positioning, personas, voice — every message
  • • That context is re-billed as input tokens, every time
  • • The longer your brand brief, the bigger the tax
  • • Output blurs as context grows into a wall of text

CrawlQ Studio (Brand Memory)

  • • Your brand is stored once as a living memory
  • • Each question wakes only the relevant pieces
  • • You don't re-send your whole brand to get an answer
  • • Output is reasoned by the parts that actually matter

How it works

Your brand pieces become reasoning agents — on demand

Your Brand Memory is a graph of typed pieces: personas, differentiators, pain points, channels, values, voice. When you ask a question, CrawlQ activates only the relevant pieces. Each one reasons from its own perspective, compares notes with its neighbors, then answers you.

1

Activate, don't dump

Instead of stuffing your whole brand into the prompt, CrawlQ selects the pieces most relevant to your question.

2

Scale to the question

A simple question wakes a handful of pieces. A complex, strategic one wakes more — and lets them debate before answering.

3

Reason, then reply

Each activated piece contributes a focused insight with a confidence score. The answer is assembled from the relevant ones.

Illustrative comparison

The shape of the saving

The numbers below are illustrative — chosen to show the mechanism, not to quote a tariff. Your real, authoritative spend is always shown live inside Studio billing.

Take a modest brand context of ~3,000 words (a brief + personas + voice guide), used across 30 AI messages a day, 250 working days a year.

Raw LLM workflow

You re-pay for ~3,000 words

on every one of 7500 messages a year. The context is the bill.

CrawlQ Studio

You activate the slice that matters

The brand stays in memory. Each answer reasons over the relevant pieces — not the whole library, re-sent.

Illustrative only. Actual cost depends on your usage, chosen model, and context size. CrawlQ shows your real AI spend live in Studio billing, and Bring-Your-Own-Key removes the cap entirely. We deliberately don't publish per-token tariffs here — the billing UI is always the authoritative source.

See it yourself

This isn't a claim — it's a page in your product

You don't have to take our word for it. Inside Studio today you can open your Brand Memory, see the typed pieces and their connections, and watch your real AI spend.

Your Brand Memory graph

Open it and see every brand piece, its type, and the connections between them. Switch between Smart View and Full View. Export it as JSON or CSV any time.

Your live AI spend

Studio billing shows exactly what you've spent this month and how many calls you've made — transparent, never hidden behind 'credits' alone.

Bring Your Own Key

Connect your own provider key and eligible AI work runs on it — Studio shows 'no cap applies.' You keep full cost control.

Honest answers

Cost, plainly

Are these exact savings guaranteed?

No — the figures on this page are illustrative and depend on your usage, the model you choose, and how large your brand context is. The point is the mechanism: a persistent Brand Memory you don't re-send on every message. Your actual AI spend is always shown live inside Studio billing.

How is CrawlQ different from just using ChatGPT or Claude for brand work?

A raw chatbot has no memory of your brand. To get on-brand output you paste your positioning, personas, and voice into the prompt — every single message — and you pay for those tokens every time. CrawlQ stores your brand as a living memory once, then activates only the relevant pieces per question.

What is a 'node becoming an agent'?

Your Brand Memory is a graph of typed pieces — personas, differentiators, pain points, channels, values, voice. When you ask a question, CrawlQ wakes up only the pieces relevant to that question and lets each reason about your question from its own perspective, then compare notes. A simple question wakes a few; a complex one wakes more.

Can I use my own API key?

Yes. With Bring-Your-Own-Key, eligible AI work runs on your provider key, and Studio shows 'no cap applies' on your spend. You keep full cost control and key sovereignty.

Stop paying to re-teach the machine who you are.

Build your Brand Memory once. Let it wake up and reason about your brand on every question — at a fraction of the waste.