For Data engineer · 8 Grok Bots

A pipeline back office that catches the broken table before your downstream team does

8 Grok Bots for a data engineer who owns the DAGs, tables, and freshness SLAs: watch the overnight runs, trace schema drift, draft data-quality tests and transformation code, plan backfills, and build the weekly cost review — all as drafts and plans you approve and run.

Hire the team See the bots
● Drafts only — nothing sends without your approval · Uses only your own data
After checkout
Your setup link arrives by email
We set up your fleet
After checkout, Workplace AI provisions your fleet on our Cursor Teams workspace and follows up soon. Watch for your Cursor invite and Grok Bot download link — then accept, install, and go.
8 bots·3 domain specialists·Success metric: Pipeline freshness-SLA coverage and mean time to detect·Category: Tech & digital
The problem it targets

Keeping the pipelines honest between builds — scanning orchestrator run history for failed and late jobs every morning, chasing an upstream schema change that broke a downstream table, writing data-quality tests and transformation code from scratch, planning backfills by hand, fielding ingestion and access requests over chat, and reconstructing warehouse spend and freshness for the weekly review — so a table goes stale unseen, a schema drift corrupts a report, a backfill runs wrong, and the on-call morning is spent piecing together what happened overnight.

What you get

From day one

1

A morning run-and-freshness scan of the orchestrator history — failed, retried, and late jobs ranked, and every owned table checked against its SLA — so a stale table is yours to catch first.

2

A schema-drift impact note when an upstream column is added, dropped, or renamed, plus drafted data-quality tests and freshness assertions for the tables that matter, ready for you to review and commit.

3

Drafted transformation and DAG code with a partition-by-partition backfill plan, a triaged data-request queue, and a one-page weekly warehouse-cost and pipeline-health review with every number traced to its metadata rows.

Meet the team

8 bots, each with one job and clear approval points

Read-only bots watch and prepare; drafting bots write but never send. You approve everything that leaves.

1

Chief of Staff

coach
Drafts for your review — you approve before anything leaves
Your morning brief, meeting prep, fleet roundup, and after-meeting coaching.
Approves: none — nothing leaves without you
2

Pipeline Run Monitor

intake
read-only
Watches & prepares — never sends
Morning scan of run history for failed, retried, and late jobs; freshness against SLA
Approves: none (nothing leaves; the scan is internal)
3

Schema Change Reviewer

researcher
read-only
Watches & prepares — never sends
Upstream schema-drift detection and downstream impact notes
Approves: none (nothing leaves; notes are internal)
4

Data-Quality Test Drafter

drafter
specialist
Drafts for your review — you approve before anything leaves
Not-null, unique, accepted-values, row-count, and freshness assertions for tables that matter
Approves: every test file before it is committed
5

Pipeline Code Prepper

specialist
specialist
Drafts for your review — you approve before anything leaves
Drafted transformation/DAG code and partition-by-partition backfill plans
Approves: every migration, backfill, and prod run
6

Data Request Coordinator

coordinator
Drafts for your review — you approve before anything leaves
Triaged ingestion/access request queue; drafted clarifying replies and proposed SLAs
Approves: every reply; every commit
7

Warehouse Cost Reporter

reporter
read-only
Watches & prepares — never sends
Weekly one-page cost and pipeline-health review, every number traced to its rows
Approves: none (nothing leaves; the engineer decides)
8

Social & Referrals

growth
Drafts for your review — you approve before anything leaves
First-party disclosed posts and notes about shipped pipelines to the engineer's own opted-in network
Approves: every post before it is sent
The handoff — one shared chat
Monitor→Reviewer→Drafter→Prepper→Coordinator→Reporter
What the fleet does in week one

All read-and-prepare — you check its work before anything is trusted

What it does not do

The guardrails are the product

  • ×It drafts and plans; it does not run. Every migration, backfill, and prod job waits for you to review and run it.
  • ×It never sends a reply, commits code, or merges a change on its own — every message and diff is yours to send.
  • ×It works only your own systems and your own opted-in network; it does not reach anyone you have not chosen.
  • ×It never infers a table, column, or run time the run history, warehouse metadata, or repository does not show.
Pipeline
freshness-SLA coverage and mean time to detect
How you'll know it's working

One number, measured over time

Share of owned pipelines that carry a defined freshness SLA and a data-quality test, and how quickly a failed or late run is surfaced relative to when a downstream team would have noticed

Before day one

What you fill in — the bots never guess these

freshness-log
the header contract for the shared freshness and run log every bot reads and writes.
dq-test
the shape of a data-quality test file in your stack (dbt-style or plain assertions), the layout tests are drafted into.
backfill-plan
your backfill-plan layout: partition range, idempotency check, and rollback, so no backfill is run without one.
Pricing

Cancel anytime.

Workplace AI provisions and runs your CrokPot fleet on our Cursor Teams workspace. We invite you on your own email — you accept, install Grok Bot, and we handle the rest.
$200/mo
  • Your whole fleet provisioned and installed for you
  • Cursor Teams seat included — paid by Workplace AI, never billed by Cursor
  • Onboarding + ongoing training
Hire the team
Your Cursor Teams seat is included and paid by Workplace AI. Drafts only, using your own data. No earnings, time-saved, or outcome guarantees are made.
How access works

You buy a CrokPot fleet from Workplace AI — not a Cursor plan

CrokPot runs on Workplace AI, Inc.’s (WAI) Cursor Teams workspace. WAI keeps the unpaid admin seat and pays Cursor for your seat. You join as the invited user on your real email and work through the installed Grok Bot fleet.

Your card is charged by WAI via Stripe for the CrokPot fleet ($200/mo, auto-renewing monthly) only — never by Cursor. If you cancel your fleet subscription, the invite/seat ends with it and is not portable to your own Cursor account.

FAQ

What you get, who owns the seat, and what happens after you pay

From the team behind Ancestry — CrokPot is built by Paul Allen, a co-founder of Ancestry.com.

Drafts only — you approve everythingYour own data, never shared$200/mo · cancel anytimeProvisioned & supported by Workplace AI

What do I actually get?

A pre-built fleet of Grok Bots for your trade, provisioned and installed for you on Workplace AI’s Cursor Teams workspace, plus onboarding and ongoing training. Every bot drafts; you approve.

Who owns the seat?

Workplace AI, Inc. (WAI) owns the Cursor Teams account and pays Cursor for your seat. You’re invited as a paid user on your own email. The seat isn’t portable to a personal Cursor account.

Do the bots act on their own?

No. The fleet is drafts-only, working from your own data. Nothing sends, files, or is trusted until you review and approve it — that’s the whole design.

Can I cancel?

Yes, anytime. It’s an auto-renewing monthly subscription at $200/mo. If you cancel, your invite/seat ends with the subscription.

What happens after I pay?

We follow up soon: our team provisions your fleet and invites you on the email you used at checkout. Watch for your Cursor Teams invite and Grok Bot download link, then accept, install, and go.

Training

New to Grok Bots? Get your team trained.

Live sessions and replays to get you and your coworkers productive with your fleet fast.

Explore Grok Bot training