Run everything you never had time to implement. Define your process once, and keep it

running with Qore.
PLATFORM

The Builder: Your Judgment, Made Repeatable

Describe the check you run by hand and the Builder turns it into a Skill in one sitting: fixed steps that return the same result every run, with every step and the rows behind it in view. Q asks the questions, you set the standard, and the Skill runs it every week after.

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Open beta, built on Claude via MCP.
What’s different
Skills that multiply your best operator,
not their hours.
Build once, get the week back
The review you run every Monday takes one sitting to encode. After that it runs itself, and the hours go to the decisions it surfaces instead of the pull.
Your standard, term by term
A Skill applies your rules at the keyword, the ASIN, and the placement, not the account average. The same judgment, at the grain where it counts.
Find performance in the details
Each component defined and outlined. Audit the approach and tweak the system to drive and replicate meaningful results.
No pipeline to assemble
Data connections, scheduling, approval gates, and a log of every action come included. You bring the standard and the Builder brings the rest.
Why not just prompt an LLM
Chat gives you an answer Qore gives you the approach.
A prompt gives you an answer once. A Skill gives you the same one every Monday.
A general assistant re-reasons your workflow every time you run it, so the standard drifts and no two weeks compare. It cannot schedule itself, keeps no structured record of what it changed, and cannot be told to leave a campaign alone for 30 days without a spreadsheet you maintain by hand. Fine for a one-off. For the work you repeat, it is the whole problem.
A general assistant re-reasons your workflow every time you run it, so the standard drifts and no two weeks compare. It cannot schedule itself, keeps no structured record of what it changed, and cannot be told to leave a campaign alone for 30 days without a spreadsheet you maintain by hand. Fine for a one-off. For the work you repeat, it is the whole problem.
A Chat
Re-reasons it every time
  • Re-derives the logic on each run, so results drift
  • Runs only when you remember to run it
  • Keeps no record of what it changed or when
  • Asking it to remember a rule is asking a person to
  • Hand it to a teammate and the standard changes
A Skill Builder
Runs the encoded logic
  • Fixed steps, so the same inputs return the same result
  • Runs hourly, daily, or weekly without you
  • Logs every action, so you can optimize into the future
  • Ignore or suppress an action by rule, for as long as you say
  • The same standard on account one and account forty

How it Works

Strategize

Define the problem and how you usually approach it. Together, we build the workflow in one sitting. Q asks what a good analyst would ask, and the Skill takes shape as a step chain you can read, in plain terms, from the first minute.

Operationalize

We transparently build the process step by step. See each integration, report, and metric and leverage it against the right rules and settings. We check each step against live data before moving on, and fix issues in front of you so you can audit the outcomes.

Run

From then on the Skill runs itself on the schedule you set, on every account you point it at. Every action is logged, every change waits for your approval, and the result is the same one you would have reached. Once comfortable with the output, run on repeat.

Encode

The standard that lives in your head becomes written steps in one sitting. Q asks what a good analyst would ask, and the Skill takes shape as a step chain you can read, in plain terms, from the first minute.

Verify

The things you would otherwise catch by hand: a step that returns nothing, a filter that drops the wrong rows, a brand name that never got set. Each step is checked against live data before the next, and fixed in front of you.

Run

From then on the Skill runs itself on the schedule you set, on every account you point it at. Every action is logged, every change waits for your approval, and the result is the same one you would have reached, without the afternoon.

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Worked example
“Build my Monday search-term review.”
From a standard in your head to a Skill that runs itself, in one sitting.
You
Build my Monday search-term review.
1
It interviews you first.
Where do you look first, what makes a term worth keeping despite clicks and no sales, what would you hand to a person. Your reflexes become written rules.
2
It builds the steps and shows its work.
Fetch the search-term data, classify each term, apply your thresholds, bucket into negate, harvest, hold, raise, or escalate. Every step visible, with a live preview beneath it.
3
It validates as it goes.
A classification step returns zero rows because a brand name was missing. It flags it, infers the brand from your ad names, confirms with you, and moves on.
4
You read the logic and lock it.
The whole standard is written out in plain terms. You correct the one rule you would have said differently, and save the version.
5
You put it on a schedule.
Every Monday it runs on its own and returns a per-campaign queue, with the escalations up top where your attention belongs.
Where the Builder stops
It shapes your standard. It does not replace it.
The Builder is good at pulling a standard out of your head and pointing at gaps in it. What it will
not do is decide what good looks like for you. That part stays yours, on purpose.
The Builder is good at pulling a standard out of your head and pointing at gaps in it. What it will not do is decide what good looks like for you. That part stays yours, on purpose.
NO
Decide your strategy.
It encodes the standard you bring. What good looks like for your catalog, your margins, and your Q4 is still your call.
NO
Confuse consistency with correctness.
Locked logic removes drift, not judgment. A wrong standard applied consistently is still wrong, so reviewing the Skill stays real work, and it stays yours.
NO
Hide the logic from you.
Nothing is a black box. Every step is written out and inspectable, so you can argue with it, correct it, and hand it to someone else.
NO
Act without your say-so.
A Skill can stage a change, but an approved action is the only thing that writes to your account. Approval is the default, not a setting to switch off.
NO
Move a Skill between connectors.
A Skill is built for the connector it lives on. An Amazon Skill will not point at Walmart, since the data and the rules underneath are not the same.
Use Cases
Reviews and workflows operators built in the Builder and now run on a schedule.
Cut waste
Harvest negative keywords
Irrelevant search terms keep matching your ads until someone builds the negative list. This builds it for you.
Ads
3 skills
Amazon
Walmart
Ongoing maintenance
Keep spend in line with stock
Ads keep spending while a product runs out, then keep paying after it is gone. This keeps spend and stock in step.
Inventory
3 skills
Amazon
Walmart
Planning & Profitability
Find your winning and losing campaigns
Some campaigns carry the account and some quietly drain it. This sorts which is which, and what to do about each.
Ads
3 skills
Amazon
Walmart
Related Surfaces
Ask
Q
Ask Q
The assistant you talk to. Ask a question, then turn the answer into a Skill.
See Surface>
Dashboard 
& Reporting
Dashboard 
& Reporting
The dashboards and decks a Skill produces, refreshed on schedule.
See Surface>
AMC
Clean Room
AMC Clean Room
Build AMC reports in the same flow, no SQL required.
See Surface>
Meetings
& Tasks
Meetings & Tasks
Meeting context and follow-ups, tied to the accounts they concern.
See Surface>

500+

brands in
open beta

brands in open beta

$900M

in GMV
under execution

in GMV under execution

100B+

tokens

processed

tokens processed

80%

of the weekly workload
Qore takes on

of the weekly workload Qore takes on

Frequently Asked Questions

Four ways: a plain-language prompt with no starting point, a doc that spells out your logic, a screenshot of a dashboard you already use, or logic copied from Claude.

Yes. Every step is visible and editable, and you can save versions. Change one rule and the rest of the Skill keeps running as before.

No. You describe the check in plain language and the guided builder assembles the steps, validating each one with you. The classic builder is there if you want more control.

Most take a single sitting. An involved one runs longer because the builder validates each step as it goes, which is the part that makes it trustworthy.

Yes. You describe the workflow in plain language and the Builder turns it into a Skill that runs on a schedule. No SQL, no scripting, and every step stays visible so you can check the logic.

A prompt is re-interpreted each time, so two runs give two slightly different answers. A Skill is fixed, encoded steps: the same inputs return the same result every run, and it can run on a schedule and act on approval.

Build your first Skill.
Watch it run before you commit.

Describe a check you run every week and see it become a Skill. The open beta has a sandbox if you want to try it on demo data first.
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