The creative intelligence loop for ecommerce

Turn market noise into your next move.

Research what’s changing. Create what fits your brand. Launch with guardrails. Ecom Bookworm connects the whole growth loop—without the tab circus.

AGENT GRAPH / Creative fatigue rescue
Orchestrating
7 MIN CADENCE · WORKFLOW 1/3
  1. 01Scout86 ads scanned
  2. 02Strategistfatigue angle
  3. 03Studio6 variants
  4. 04Media guard$180 cap
↺ PROFIT MEMORY

1.4× hook-rate finding saved → next scan

Signal found
86 ADS SCANNED

SAMPLE WORKSPACE / LIVE AGENT RUN

Three market shifts need your eyes.

Creative fatigue

3 adsVIEW SIGNAL ↗

Rising product

Cloud slidesVIEW SIGNAL ↗

Spend at risk

$184VIEW SIGNAL ↗
CONTRIBUTION PULSE$3,270
+18.4% ↗
MONTUEWEDTHUFRISATSUN
CREATIVE QUEUEReady to ship
4 ASSETS
NEW
Problem / solution

UGC · 15 sec · 9:16

92
V2
Founder story

Voiceover · 24 sec · 1:1

87
01SPOT THE SIGNAL

THE HANDOFF TAX

Four partial truths.
No shared memory.

The intelligence tool knows what changed. The generator knows what it made. Ads Manager knows what it attributed. The margin sheet knows what was profitable. Each is right about its slice. None keeps the hypothesis intact long enough to tell you what to test next.

ILLUSTRATIVE HANDOFF / ONE CREATIVE TEST4 SYSTEMS · 0 SHARED MEMORY
01 / INTELLIGENCEProblem-first openings are rising
SEES86 ads + source links
MISSESYour prior test history
02 / GENERATION6 concepts produced
SEESPrompt + outputs
MISSESWhy this angle exists
NEXT TEST: UNKNOWN
03 / MEDIA2.4× platform ROAS
SEESDelivery + attributed revenue
MISSESTrue contribution
04 / MARGIN−$6.80 contribution / order
SEESCOGS + shipping + returns
MISSESHypothesis + creative lineage

ONE CONTINUOUS MEMORY

From first signal
to next best test.

Ecom Bookworm keeps the original hypothesis attached—from market evidence to creative, campaign, profit, and the learning that follows.

Market signal

Organization-first ads are holding attention longer.

Confidence: high

Ecom Bookworm compares public creative, offer changes, customer language, and your own account history—then separates durable patterns from short-lived noise.

SAMPLE WORKSPACE / TRAVEL CASE01 OF 04
Market signalOrganization-first ads are holding attention longer.86 active creatives · 19 advertisers · 30 days
+18%creative velocity
Sources attachedAssumptions editableAction logged

THE EVIDENCE-TO-BRIEF WORKFLOW

Turn one repeated problem into a testable angle.

This illustrative scan does one job: decide whether customer language deserves a creative test. It connects what the product can prove, what customers repeat, and what the market already says—then packages one inspectable hypothesis.

SOURCES STAY ATTACHEDUNSUPPORTED CLAIMS STAY OUTONE NAMED HYPOTHESIS
SAMPLE WORKFLOW / PRODUCT PAGE
↗example.com/products/hero-productILLUSTRATIVE INPUT
STEP 01 / 05

Bound the claims

14 claims · 6 proof points

Offer, proof, exclusions, and restricted claims come from the product page; no new promise is invented.

SOURCE LEDGERProduct · reviews · market
ANGLE BRIEFFriction-first · proof-backed
TEST CARD2 variants · 1 decision rule

OUR ETHOS / THE BOOKWORM COMPACT

More output is easy.
Better judgment compounds.

Bookworm does not remove the operator from the loop. It removes the dead space around the operator—the hunting, re-prompting, tab-switching, and lost context between a market signal and a profitable next test. Evidence stays attached. Consequential decisions stay human. Every result becomes memory.

COMPACT / 01 OF 06SIGNAL

Signal must earn attention.

More data is not more intelligence. A signal belongs in the workflow only when it can change what you test, stop, or scale.

IN THE PRODUCTRank evidence by the decision it can change.
LESS FEED. CLEARER NEXT MOVE.

WHY THE MVP STAYS PRIVATE

A feed is not a strategy.
Speed is not a learning loop.

Spy tools can show what the market is running. Automation tools can move work from A to B. The costly work lives between them: deciding what is worth testing for your brand, controlling how it launches, and remembering what the result means. We’re proving that bridge privately with a small group of Shopify operators before we broaden access.

SPY TOOLS / OBSERVATIONA library is not a learning system
  • Public ads show what ran—not why it worked
  • Longevity and reach are signals, not proof
  • Your customer, brand, margin, and history are missing
  • Good finds often end in another swipe file
AUTOMATION / EXECUTIONMore output can mean faster drift
  • Outputs inherit whatever context reaches the prompt
  • Context can disappear at each handoff
  • Throughput is easy to mistake for business impact
  • Actions can outpace brand, budget, and launch review
PRIVATE MVP / VALIDATIONProve the bridge before widening the road
  • Shopify + Meta first
  • A small cohort using real workflows
  • Sources, assumptions, and approvals stay visible
  • Broader access follows a repeatable, useful core loop

PRIVATE DESIGN-PARTNER COHORT

Help make the first release
worth opening.

We’re inviting up to 20 Shopify operators running Meta ads to pressure-test the workflow against real briefs, brand constraints, and approval cycles. The cohort stays small so operator feedback can directly shape what ships.

Apply for the private MVP ↗
FOUNDING 20

FOUNDING RELEASE SCOPE

What ships first.

  • Connected Shopify product and brand context
  • A source-linked opportunity brief with editable assumptions
  • Original concept packs and UGC-script drafts
  • Human-approved Meta campaign drafts with budget and stop rules
  • A reusable test record linking hypothesis, creative, spend, and outcome
PRIVATE COHORT · HANDS-ON SETUP20 PARTNERS MAX

THE FINE PRINT, UP FRONT

Questions a sharp
operator should ask.

Is Ecom Bookworm another ad-spy tool?+

No. Competitive intelligence is one input. Ecom Bookworm connects external signals to your brand context, original creative, controlled launches, and first-party performance so the output becomes a test—not a swipe file.

Does it change budgets automatically?+

Not in the MVP. Ecom Bookworm can draft launches, flag spend risk, and recommend changes. You approve any action that affects spend, with the evidence and rollback path visible first.

Which platforms will the beta support?+

The first closed-loop beta is designed around Shopify and Meta. Other stores, ad networks, fully rendered AI video, and agency workspaces come after the core learning loop proves useful.

Where does the research data come from?+

Public and permissioned sources, plus the accounts you choose to connect. Inferred market metrics are labeled as estimates, and recommendations retain source links and confidence levels.