The review and memory layer for AI-generated creative

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

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.

v1 — Generated
Generated by agentspring_campaign.png
Client review

Logo feels off-brand — can we use the warmer palette?

Client · 2:14 PM

ApproveRequest changes
v2 — Revised
v2 proposed by agent

Canon memory updated

Warm palette approved → saved to brand memory

The 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.

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

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

  • Revisions lose the context of what was actually asked.

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

  • So the next draft makes the same mistake again.

The loop

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.

  1. 1

    Generate

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

  2. 2

    Share

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

  3. 3

    Comment

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

  4. 4

    Revise

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

  5. 5

    Approve

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

  6. 6

    Reuse

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

    back to Generate

Why it wins

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.

A repo of markdown files

> hero image for the spring campaign, warm tones

Here's a first draft. Let me know what you think…

> more contrast, and the logo feels too small

Regenerated with higher contrast and a larger…

> wait, which version did the client see?

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

Creative Engine

generatessharescommentsrevisesapprovesremembersships

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.

Use cases

Built for creative work that needs approval.

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

  • Brand campaign assets

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

  • Social and ad creative

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

  • Product imagery revisions

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

Why we built it

Why we built Creative Engine

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

Get started

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.