The review and memory layer for AI-generated creative

AI made drafts cheap. Feedback is still scattered across your team.

Spuree Creative Engine · working notes · Claude Code / Codex / OpenClaw

Abstract

Creative Engine pulls client notes into one shared, searchable place your agent reads from Claude Code, Codex, or OpenClaw, then drafts the next version, shares it for review, and stores every approval as brand memory.

01The problem

The AI workflow breaks right after generation.

Generation is the easy part. What follows is scattered between your team and your clients — and invisible to your agent.

L1.Drafts get dumped into Slack, email, or Telegram.

L2.Account managers turn into feedback couriers — and every round re-litigates decisions the client already signed off.

L3.Revisions lose the context of what was actually asked.

L4.Your agent can't read any of it — not from Claude Code, Codex, or OpenClaw.

L5.So the next draft makes the same mistake again.

02The loop · method

A review loop your agent can actually learn from.

Six steps, one compounding cycle. Every approval feeds the memory your agent reads, so each pass through the loop starts further ahead than the last.

step 01

Generate

Your agent drafts from project context and brand memory — right from Claude Code, Codex, or OpenClaw.

step 02

Share

One client-safe review link. Not a Slack thread, an email chain, or an attachment.

step 03

Comment

Clients and teammates pin feedback directly on the asset — nothing left in someone's memory.

step 04

Revise

The agent turns comments into the next version, with the full context of what was asked.

step 05

Approve

Every sign-off updates that client's brand and canon memory, automatically.

step 06

Reuse

The next draft starts from what's approved. The same mistake never ships twice.

03Why it wins · comparison

Not a chat thread. Not a git repo. A client-facing creative system.

A chat window can produce a draft, and a repo can store it. The system around them — review, sign-off, memory per client — is what your clients actually pay for.

approach a

A repo of markdown files

> draft the spring hero, warm tones

Here’s a first draft…

> which version did the client see?

stores output…but clients don't open pull requests.

approach b

Creative Engine

Every draft goes out as one client-safe review link, every pinned comment drives a revision, every approval becomes brand and canon memory your agent reads before the next draft — and every client gets its own memory, compounding separately. The version that ships is never in question.

04Use cases · applications

Built for creative work that needs approval.

Anywhere AI output meets a client sign-off, the loop applies — and the memory compounds.

A.1Brand campaign assets

Every sign-off locks brand rules into memory before the campaign ships.

A.2Social and ad creative

High volume, fast turnaround — and no client note repeated twice.

A.3Product imagery revisions

Every retouch note goes straight to the agent, with full context.

05Why we built it · field notes

The agent drafts in seconds — then the approval crawls through Slack for a week.
from customer discovery interviews
Nothing a client signs off on should ever need saying twice.
the design principle behind canon memory

06Get started · conclusion

Show clients the work. Let every approval compound.

One loop from AI draft to client sign-off — and every approval becomes memory your agent starts from next time.