IdealSync
CA ClearAds

Own Your Data · Closed-loop systems · ClearAds seller event

Automations
You Can Trust

A session for ClearAds sellers · Real Team A + Team B examples

Own Your Data · Closed-loop systems · ClearAds seller event · ClearAds 01 / 50 · all four parts
IdealSync
CA ClearAds

Founder · IdealSync

Quick Intro

Dorian Gorski
Dorian Gorski · Founder

Dorian Gorski has spent thirteen years inside Amazon conversion work on a data-science foundation: three thousand optimizations across two thousand-plus brands. Founder of Keplo, the CRO platform for 8-figure Amazon brands.

At IdealSync he writes the architecture, runs the build, and signs the handover. The systems on this page are the ones he works in every day, not a deck.

Currently in build: connected operating systems for multiple 8-figure Amazon brands, including a European operator running seven brands across five marketplaces.

Practice13 years
Optimizations3,000+
Brands2,000+
Also founder ofKeplo.com
Own Your Data · Closed-loop systems · ClearAds seller event · ClearAds 02 / 50
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The philosophy · before the examples

Every action should teach the system.

A closed loop connects what you know, what you do, and what happens next—
so the next decision starts with better knowledge.

01 · DATA

Know the situation.

Reliable numbers, questions and signals from the business.

02 · SOPs

Choose the response.

A shared playbook sets the steps, owner and approval.

03 · ACTION

Do the work.

A person or automation carries out the decision and records it.

04 · FEEDBACK

See what happened.

Capture the result. Review it. Improve the data and playbook.

That return path closes the loop.Human judgement stays in the system. Learning can be a reviewed fix, a sharper SOP or a better handoff.

The foundation matters: connect the data before choosing the model.

ClearAds seller event · the closed-loop philosophy03 / 50
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The pain → the solution

Better models don’t fix broken systems.

The trap: chasing the latest model before understanding the work.
Start with the system. Build its data foundation. Then choose the model.

THE SYSTEM FIRST · TWO TYPES OF DATA
01 · BUSINESS DATA

What happened?

Sales, ad spend, stock, margin.

The signals that trigger work.
02 · OPERATIONAL DATA

Why? Who? What next?

SOPs, decisions, owners, tasks, results.

The context that guides the response.
ONE CONNECTED FOUNDATIONShared IDs · fresh, checked data · permissions · history
ILLUSTRATIVE SELLER FLOW · FICTIONAL PERSON & DATA
01 · SIGNALMargin dropsBusiness data flags a change.
02 · RESPONSEApply the SOPCheck costs, ads and stock.
03 · ACTIONMira gets a taskOwner, due date, review.

Record the decision + outcome. Review the result; improve the next response.

The model is one component. The system turns your data into accountable action—and keeps the learning.

ClearAds seller event · build the system, then choose the model04 / 50
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ClearAds · Features in action

The loop already exists.

Team A supplies the learning and data examples. Team B supplies the task execution examples.

Team A · ask → learn

Implemented + measured usage

Ask business questions against the company database. Record failures and missing data. Improve the shared guidance.

13,692 recorded tool calls in four complete weeks. A real feedback signal for what to improve next.

Team B · raise → track

Implemented in reviewed source

Raise a task, apply a reusable flow, resolve owners and due dates, create the work, and track its lifecycle.

Completion returns to the ledger. The next process review can use evidence.

ObserveDecideExecuteMeasureImprove
Production Team A aggregates · Team B main reviewed 7 Sep 2026 · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback05 / 50
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ClearAds · Features in action

Actual use. Precisely counted.

10 August–6 September 2026 · four complete Europe/Berlin weeks · production only, smoke checks excluded.

Recorded tool calls13,692

Calls, not conversations

Signed-in identities17

Plus one shared Slack identity

OK / logged responses96.7%

13,239 calls · not answer accuracy

Calls by week starting

10 Aug
1,221
17 Aug
4,147
24 Aug
4,798
31 Aug
3,526

How the team uses it

12,186 database query calls
11,021 calls through the shared Slack door
73 calls to log a data request

146 no-data responses + 307 other problem responses expose gaps to investigate.

Tool categories and Slack usage overlap. A request call is not a unique feature request.

Team A weekly usage view · read 7 Sep 2026 · recorded telemetry may omit failed logging · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback06 / 50
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ClearAds · Features in action

The assistant learns from the work.

Mira finds a data trap. A reviewed correction helps Theo avoid it next time.

● ● ●Team A pattern · fictional Morrow & Finch teamFICTIONAL DEMO
# account-analysis ● Connected
MC
Mira Cole · account strategist

QUERY RECEIPTSELECT spend FROM ads_daily
! Unknown column: spend
AI
Assistant

That field is not available. I’ve recorded the failure and returned the verified column guidance.

TP
Theo Park · next session

“Ad spend for the Meadow Lamp?”

ANSWER · FICTIONAL DATA£1,240Last complete week · correct field used
Shared knowledge
ADS DATA DICTIONARY

A known trap, corrected.

Field spendcost_gbp
Grain product × day
JVJun ValeReviewed & published
↳ Column guidance accompanies the first successful use, before the next query.
Verified guidance → next session
Ask a real business question
0:00 / 0:18
Fictional names, brands & demo data · visual simulation · no live actions
Team A lib/primer.ts + dictionary + query handler · historical review dated 28 Aug · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback07 / 50
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CA ClearAds

ClearAds · Features in action

Watch a request become a shipped feature.

Three colleagues need the same report. The system keeps their requests connected.

● ● ●Team A pattern · fictional Kitewell teamFICTIONAL DEMO
Team requests Incoming →
MCMira Cole“We need break-even ACoS.”
TPTheo Park“Can we see break-even ACoS?”
LMLena Moss“Please add break-even ACoS.”
Each original request stays on record.
REQUEST KW-042OPENBUILDINGSHIPPED ✓

Break-even ACoS by product

One grouped need · original asks stay linked

1linked requests
MCTPLM
JVJun ValePrioritised → built → verified
Mira, your requested report is ready.Shown on her next eligible assistant interaction · proof note attached
Mira raises a request
0:00 / 0:18
Fictional names, brands & demo data · visual simulation · no live actions
Team A requestDedupe.ts + wishShipped.ts · six repeats from historical review · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback08 / 50
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ClearAds · Features in action

Keep the decision attached to the result.

A fictional creative test at Morrow & Finch becomes a reusable decision record.

● ● ●Team A pattern · fictional creative testFICTIONAL DEMO
Assistant Decision capture
MC
Mira Cole

DECISION MF-108

Test brighter hero image

Owner Mira Cole
Review 14 September
Reason Product detail is hard to see

7 days later → Review the observed result
LM
Lena Moss · reviewer

“Log the test result against decision MF-108.”

Operational ledger Linked history
MF-108 · Decision

Brighter hero image

Who · what · why · when

MF-109 · Outcome
Test sample2,000
Observed CTR0.8% → 1.0%

Fictional observations, not a causal claim.

Next review: retrieve the decision and its outcome together.
Capture the decision in chat
0:00 / 0:18
Fictional names, brands & demo data · visual simulation · no live actions
Team A team-tools.ts · operational ledger + structured captures · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback09 / 50
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ClearAds · Features in action

Watch one brief become four owned tasks.

Mira raises a creative request for Kitewell. A reusable flow does the setup.

● ● ●Team B pattern · fictional Kitewell workspaceFICTIONAL DEMO
Raise a task Kitewell / Cloud Cup
Creative refresh4 steps · owners resolved from brand roles
Plan reviewed by Mira Cole4 owners · 4 due dates · ready
✓ 4 tasks created · request KW-204 saved
Created work 4 / 4 ready
01
Write the creative briefMira Cole · 7 Sep
To do
02
Design the hero imageTheo Park · 9 Sep
To do
03
Review the creativeLena Moss · 10 Sep
To do
04
Publish the approved assetJun Vale · 11 Sep
To do
Mira
Mira writes the request
0:00 / 0:18
Fictional names, brands & demo data · visual simulation · no live actions
Team B · OperationsIntakeForm + submission-flow-plan + flow resolver · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback10 / 50
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ClearAds · Features in action

Move one deadline. Watch the chain follow.

The brief moves one day. Later steps and the parent deadline follow the same shift.

● ● ●Team B pattern · fictional Kitewell scheduleFICTIONAL DEMO
Creative refresh · Cloud CupSeptember · example dates
Step / owner7 Mon8 Tue9 Wed10 Thu11 Fri
BriefMira Cole
Brief 7 Sep8 Sep
7 Sep
DesignTheo Park
Design 9 Sep10 Sep
ReviewLena Moss
Review 10 Sep11 Sep
Parent taskLatest step deadline
10 Sep11 Sep
Drag in the real app → event arrives here+1 day · preserve downstream gaps✓ Dates saved · echoed update ignored · no repeat cascade
Mira drags +1 day
The original flow schedule
0:00 / 0:18
Fictional names, brands & demo data · visual simulation · no live actions
Team B · task-ledger.ts / computeCascade · example dates are illustrative · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback11 / 50
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ClearAds · Features in action

See work finish—and the receipt return.

Theo completes a fictional creative task. The board, history and tracking view update.

● ● ●Team B pattern · fictional Morrow & Finch boardFICTIONAL DEMO
To do 10
In progress 010
Done 01
MF-216 · MEADOW LAMP

Design hero image

TPTheo ParkCreative designer
Ready to startWork underway✓ Completed
EVENT LEDGER

09:00 · started · Theo Park

Work continues · time recorded

11:00 · completed · Theo Park

Tracking refreshed from the event

Completed in this demo0
Example elapsed cycle2h
↻ Synced just now
A task is ready to start
0:00 / 0:18
Fictional names, brands & demo data · visual simulation · no live actions
Team B · TaskTrackingPanel + task-ledger + native-tasks · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback12 / 50
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ClearAds · Features in action

A closed loop remembers what happened.

The same pattern appears in the two systems you have just seen.

01 · Observe

Team A · recorded evidence

Business questions reach the company database. Tool receipts reveal which requests succeed, which fail, and what data is missing.

02 · Act

Team B · owned work

A person raises and reviews a request. A reusable flow creates the tasks, owners and dates. Changes feed back into the schedule.

03 · Learn

Both · a durable record

Team A links outcomes to decisions and improves shared guidance. Team B records task lifecycle events for the next process review.

The connection matters: a signal leads to owned action, the action leaves a receipt, and the receipt informs the next decision.

These are distinct existing systems demonstrating one philosophy. They are not presented as one combined implementation.

Existing Team A + Team B mechanisms · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback13 / 50
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ClearAds · Features in action

The useful question: where does the loop stop?

A practical lens for any seller’s business, illustrated by mechanisms already built.

Data → decision

Example · Team A

Can the team trace an answer to its data? When an answer fails, does the failure improve shared guidance?

Decision → work

Example · Team B

Does a request become steps with owners and due dates? Does a changed deadline reach the next person?

Work → knowledge

Examples · both systems

Does completion return to tracking? Can the next colleague find the earlier decision and its recorded outcome?

Own the data. Make the playbook executable. Record the result. Improve the system with evidence.

ClearAds is the seller-event audience. Team A and Team B are the implementation examples; demo brands and people are fictional.

Existing Team A + Team B mechanisms · Sources & definitions ↗
ClearAds · Data → SOP → Action → Feedback14 / 50
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What this session is about

Two Kinds of
Intelligence.
One Closed Loop.

Automations your team actually runs — fed by both, sharpened every cycle.

BUSINESS INTELLIGENCE · QUANTITATIVE The numbers — sales, ads, ranks, margins.
OPERATIONAL INTELLIGENCE · QUALITATIVE How your team actually does the work.
tool-hopping data that doesn't talk apps nobody uses
Own Your Data · Closed-loop systems · ClearAds seller event 15 / 50
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Before we start · one promise

Stay to the End —
Leave With the Builder.

Everything you're about to see, you can build. At the end I'll share a free resource that helps you do exactly that — step by step, inside your Claude.

THE MCP · REVEALED ON THE LAST SLIDE

An assistant trained on this exact method — it guides, designs, and builds with you.

FREE · NO CATCH · SLIDE 38

Own Your Data · Closed-loop systems · ClearAds seller event 16 / 50
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Section 1 · The foundation

It All Starts
With Data

An automation is only as smart as the data underneath it. Crap in, crap out.

Own Your Data · Section 1 of 4
Data
SOPs
Automations
Feedback
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The pain · what almost everyone does first

A Chatbot Is Not an Accountant

ai chat · wired straight into raw data
What was net profit in March?
£41,203£38,910£45,570same question · a different answer every time · always confident
raw API data · no checks, no math layer
{"order":"112-8804216","fees":[3.11,0.42,…]}
{"asin":"B0KJ4X8","qty":3,"promo":null,…}
60%
of its answers were wrong
off by 20 to 50% · my own tests
Own Your Data · Section 1 of 4
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SOPs
Automations
Feedback
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The solution · the medallion model

Refine It Like Gold

Bronze is raw and untouched. Silver is cleaned and checked by code. Gold is verified numbers the AI is finally allowed to read.

Bronze

Raw, exactly as it arrived. Untouched, kept forever.

Silver

Cleaned, deduped, checked. Every row passes code.

Gold

Verified numbers. The only shelf the AI can see.

reads gold only never touches the ore

AI reads. Python counts.

Own Your Data · Section 1 of 4
Data
SOPs
Automations
Feedback
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Accuracy

Every Number, Checked Twice

Each key number is computed from two independent sources. If they disagree, we flag it. If data is stale, we say so. Never a dressed-up number.

when they disagree

A £128,410B £131,020
flagged · shown · never hidden

A mismatch becomes a finding you can act on, not a guess baked into a dashboard.

Own Your Data · Section 1 of 4
Data
SOPs
Automations
Feedback
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Security

One Leaked Key Can Sink the Ship

I have watched shared Amazon credentials leak and cost real money. The fix: your team never touches the sources. A guarded database sits in between — they read it, and nothing else.

The pain · keys passed around

Everyone holds the key. One copy always slips.

The fix · one guarded door

No keys to expose. One truth — fresh, maintained, verified — for everyone.

Own Your Data · Section 1 of 4
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SOPs
Automations
Feedback
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What goes in

Two Kinds of Data Run Your Business

Business data tells you WHAT happened: sales, ads, ranks, keywords. Operational data tells you WHY: SOPs, decisions, tasks, people, results.

Business data · what happened

MOST BRANDS STOP HERE
SP-APIADSKEEPAKEYWORDSRANKS

Sales, ads, ranks. Every brand tracks this.

Operational data · why it happened

SOPSCHECKLISTSDECISIONSTASKSPEOPLE

Who decided what, and how it turned out. Almost nobody logs this.

Own Your Data · Section 1 of 4
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SOPs
Automations
Feedback
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Choose your sources

Pick What Matters.
Stop Renting the Rest.

Rank Tracker Pro$199 / mo
Keyword Suite$249 / mo
Review Watch$99 / mo
Listing Monitor$149 / mo

rented · many just re-read Amazon pages

owned · read into a database you keep

Plug in only the sources that drive real decisions. AI with eyes can read the rest into a database you own.

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SOPs
Automations
Feedback
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Where this is heading

When Both Meet, Your Business Starts Learning

Business data spots the problem. Operational data knows who fixes it, and how. Next time, the system already knows what worked.

01Rank drops on a hero product
02A task creates itself — from your SOP
03Finds the right person, hands them the data
04Decision made
05Result logged
06System remembers — next lap starts smarter
product · person · SOP performance — all connected
Own Your Data · Section 1 of 4
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SOPs
Automations
Feedback
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Section 1 · done

The Moment You Own Your Data, the Possibilities Are Endless

Database structure is the most important decision in the whole journey. Get it right and everything after it gets easy.

Data
SOPs · next
Automations
Feedback
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Section 2 · SOPs

Data Tells You What.
SOPs Tell You What To Do.

The hardest part of automation is not the tech. It is writing down how your business actually thinks.

Without a playbook · knowing

Dashboards full. Nothing moves.

With a playbook · doing

Same data, plus a playbook. A path to a finished task.

Own Your Data · Section 2 of 4
Data
SOPs
Automations
Feedback
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The pain

Your SOPs Are Asleep in a Google Drive

Written once, outdated in a month, opened by no one. So the real manual lives in people's heads, and every question still lands on you.

The documents · asleep

Written once. Read never.

The reality · one head

Every question still routes to the owner.

Own Your Data · Section 2 of 4
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SOPs
Automations
Feedback
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The living library

A Playbook Is More Than Checklists

Best practices. Procedures plus edge cases and alerts. Who owns what. The KPIs that define success. And the unwritten rules your best people use.

01Best practices
02Procedures · edge cases
03Alerts · thresholds
04Structure · who owns what
05KPIs · goals
06Rules of thumb · who may decide what
versioned · connected · machine-readable
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SOPs
Automations
Feedback
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Stage 1 · mine what exists

Your Company Already Wrote Its Manual.
It Is Just Scattered.

We plug into the tools you already use and read everything — automatically. Out come SOP drafts, the real org map, and the habits that actually make money.

Own Your Data · Section 2 of 4
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SOPs
Automations
Feedback
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Stage 2 · own the AI doorway

Every Question Your Team Asks Is a Gap Report

Your team gets company AI agents inside Slack and ClickUp. Every question is logged: who asked, what they needed, what was missing. The library learns where it is thin.

The pain · personal chatbots

Answers vanish. Data drifts into accounts you cannot see.

The fix · one company agent

One doorway. Every gap becomes the next SOP.

Own Your Data · Section 2 of 4
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SOPs
Automations
Feedback
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Stage 3 · interview the experts

Get the Knowledge Out of Their Heads Before It Walks Out the Door

We interview the people who carry the business and log what they know. It comes back out as tasks, recommendations, and guidance for everyone. No more "quick question, how do I…"

Own Your Data · Section 2 of 4
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SOPs
Automations
Feedback
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The payoff · priority math

Busy Is Not Productive

When everything is measured, every task gets a price: time it takes vs money it moves. The system does not just create tasks. It ranks them.

PRIORITY 1

Main image suppressed · Product X

$700/dayest. loss while it sits
30 minto fix
PRIORITY 3

Sessions dipping · Product Z

$40/dayest. impact
3 hrsof research to fix

numbers illustrative

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Section 2 · done

Numbers and Knowledge, Joined by an ID

Business data and operational knowledge live in one database and point at each other: product, person, SOP, decision, result. That connection is what makes automation possible.

#SKU-123#SOP-14#PERSON-7#DECISION-88
Own Your Data · Section 2 of 4
Data
SOPs
Automations · next
Feedback
33 / 50 · next: Automations
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Section 3 · Automations

Now the Machines Can Work

An automation is just data plus playbook, acting. You built both. This is where they start moving.

Own Your Data · Section 3 of 4
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SOPs
Automations
Feedback
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The map

Automations Live in Four Places

In your chat. Inside your team tools. In the background. And on your screens. Each one has a different job.

HOME 01 · ASK Company chat

Sporadic questions, answered from one brain.

SLACKCLICKUP HOME 02 · HELPS WHERE YOU WORK Agents in your team tools

They follow the work and step in with help.

HOME 03 · WORKS WHILE YOU SLEEP Background workers

Scheduled jobs that end in conclusions.

HOME 04 · SEE AND ACT Your own dashboards

Screens built for your exact workflows.

Own Your Data · Section 3 of 4
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Home 1 · company chat

1234

Ask Your Business Anything

A company chat assistant with read access to your verified data. Sales questions and process questions, one brain, sourced answers.

company chat · read only · gold layer
What was our DE profit last week?
€41,320 verified · Gold layer · as of 07:00
How do we handle a hijacker?
SOP-31Hijacker response owner: Marta · 6 steps · updated 3 weeks ago

one question about numbers · one about process · same brain

Own Your Data · Section 3 of 4
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SOPs
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Home 2 · agents in your team tools

1234

Help That Arrives Before You Ask

Agents live inside Slack and ClickUp, follow the conversation, and step in when they have something useful.

#garlic-press · example thread
A
Anna · 09:12

Sales on the garlic press dipped 30% this week. Anyone know why?

Company Agent · 09:12
Main image changed on Tuesday. Sessions are stable. Conversion fell 4.1% to 2.8%. A similar case in March was fixed by reverting the image. SOP-14 applies. I drafted a task for Anna with the data attached. View task

one reply · both rivers: numbers and knowledge

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Home 3 · background workers

1234

Work That Happens While You Sleep

Scheduled jobs gather data, run the math with plain code, and wake you up with conclusions, not raw numbers.

Own Your Data · Section 3 of 4
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Home 4 · your own screens

1234

Your Business, On One Screen

Dashboards and small apps built for your exact workflows. Not what a software vendor thinks you need.

yourbrand.app/ops every number verified before it renders
Profit by producttrue margin · fees included
Forecast · reorderdays of stock · order-by dates
PO creation · trackingDRAFT POfrom forecast · one click
Logistics trackershipments · ETAs · landed cost
Catalog health2 alertsimages · content · ratings
Task priority boardP1the ranked list · from part 2
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Under the hood

The Engine Room: Own Your Stack

n8n for the plumbing: built once, runs at scale, easy to fix. Paid AI for the heavy thinking. Your own GPUs for the 24/7 work.

Own Your Data · Section 3 of 4
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Automations
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Alerts, and beyond

Problems That Fix Themselves

An alert is the floor. The ceiling: the system investigates, plans the fix, drafts the email, and hands you a finished package to approve.

Own Your Data · Section 3 of 4
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SOPs
Automations
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Three steps · autonomy is earned

Capture. Prove. Then automate.

First understand the work. Then test AI suggestions with people.
Only introduce automation when reviewed evidence gives you high confidence.

STEP 1 · CAPTURE

Make the process explicit.

Capture the rules, SOPs, exceptions, owners and source data.

Define what good looks like.What triggers the work? Who decides? Which result counts as success?
OUTPUT → A shared, testable playbook
STEP 2 · SUGGEST ONLY

Run a confidence test.

AI suggests. A human accepts or rejects each suggestion—and records why.

✓ Accept + reason× Reject + correction
Review errors. Refine. Retest.Test representative cases against agreed quality and risk criteria.
GATE → High confidence + owner sign-off
STEP 3 · AUTOMATE & VERIFY

Automate the proven scope.

Only after the confidence gate passes. Keep human review for exceptions.

Verify by actual results.Compare outcomes with the success criteria. Log failures and unexpected effects.
CHECK → Are results still good enough?

Confidence comes from reviewed evidence.
Check errors and outcomes, not the model’s self-rating.

GUARDRAILS STAY ON

Action limits · audit trail · human escalation · stop switch

Own Your Data · Section 3 of 4
Data
SOPs
Automations
Feedback · next
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Section 4 · Feedback

This Is Where the Magic Happens

Everything the system does leaves a trace. Now the traces go to work.

Own Your Data · Section 4 of 4
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What gets measured

Every Action Leaves a Receipt

Each decision, each KPI, each SOP used, each task done, each alert fired. All logged, all connected by IDs.

Own Your Data · Section 4 of 4
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The loop closes

The Data Goes Back

The loop answers the questions that grow a business: what works, what to fix, what is missing, where the next opportunity hides.

Q1Where are the opportunities?
Q2Where do issues keep arising?
Q3Where is data still missing?
Q4Which SOPs are weak?
Q5Which automations have earned autonomy?
Q6Which alerts are just noise?
Own Your Data · Section 4 of 4
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The payoff · from part 1

Remember the Rank Drop?

First lap, humans decided and the system logged. Second lap, it already knows what worked, who did it best, and how long it took.

Second lap · recommendation, pre-filled

Last time this pattern appeared, an image revert fixed it in 2 days. Recommend SOP-14. Suggest Anna — fastest resolution on this issue.
SOP-14 · 92% success Anna · avg 1.8 days

Same loop as an hour ago. Now you can see the learning.

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Fair by design

When Something Fails, We Blame the System First

The order is fixed: check the data, then the SOP, then coach the person — with facts. Reviews run on logged reality, not memory.

SOP-14 · two versions, measured

v168% success · 3.1 days
v292% success · 1.8 days
your operations · A/B testing itself
Own Your Data · Section 4 of 4
Data
SOPs
Automations
Feedback
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CA ClearAds

Why this compounds

Every Lap Makes It Harder to Copy

Each cycle: richer data, sharper playbook, smarter automations. A rival can copy your photos tomorrow. Not your years of logged decisions.

WIDER EVERY CYCLE
LAP 1 Every automation runs, every decision gets logged.
LAP 2 Patterns surface — the playbook gets sharper.
LAP 3 Automations sharpen themselves — less owner time.
They can copy your listing tomorrow.
They cannot copy what your database has learned.
less owner-dependent documented · self-improving worth more the day you sell
Own Your Data · Section 4 of 4
Data
SOPs
Automations
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48 / 50
IdealSync
CA ClearAds

Own Your Data · the whole journey

The Possibilities Are Endless.
The First Step Is Small.

THIS MONTH · 01List the data sources that actually drive your decisions.
02Get them into one guarded database. Structure first.
03Automate one painful workflow — with a human in the loop.
Data
SOPs
Automations
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Own Your Data · Closed-loop systems · ClearAds seller event · ClearAds 49 / 50 · thank you · questions
IdealSync
CA ClearAds

Free · for Claude

Leave with your next system mapped.

Your free Systems Blueprint: map one workflow, find its weak handoffs, and choose a practical next move.

idealsync.com/blueprint
MCP · 01 It guides you

Dorian’s method and a free MCP helper for Claude.

MCP · 02 Exact steps to follow

See roles, required inputs and the next improvement.

MCP · 03 Check it with your team

Invite one teammate to verify a selected handoff.

MCP · 04 Bring your blueprint to Dorian

Discuss how to turn the plan into a working system.

Own Your Data · Closed-loop systems · ClearAds seller event · ClearAds 50 / 50 · free MCP · idealsync.com/blueprint