60 workflow cards
Copy/paste prompt workflows with inputs, prompt text, example use, output expectations, and human accountability checks.
For analytics engineers, senior analysts, and data consultants
The AI Analytics Engineering Workflow Kit
Use AI faster without handing over judgement on business-critical numbers
A practical digital kit with 60 copy/paste workflow cards, a readiness checklist workbook, and an implementation tracker for using AI across dbt, SQL, semantic layers, testing, documentation, PR review, incidents, and analytics engineering governance.
Purchase details
Digital workflow kit delivered after checkout
This is a one-time digital purchase. After checkout, Lemon Squeezy sends the download access and receipt by email. The kit is self-serve and does not include advisory work, implementation support, or review of your production repository.
- Launch price
- $9.99 USD
- Standard price
- $79 USD
- Format
- ZIP package with PDF, workbook, CSV tracker, samples, and README
- Delivery
- Instant download link by email after checkout
- Availability
- Available now
- Sold through
- Lemon Squeezy checkout
What you get
Built for controlled AI-assisted analytics engineering
Readiness workbook
Assess source sensitivity, metric ownership, grain clarity, reconciliation, access risk, and production impact before scaling AI use.
Implementation tracker
A CSV tracker for rolling out the workflows gradually by category, owner, status, risk, and adoption notes.
Public samples
Four polished sample workflows that show the structure before you start applying the full library.
AI accountability boundary
Each workflow separates what AI can draft, explain, compare, or challenge from the judgement a named human still owns.
Analytics-specific coverage
Designed around dbt, SQL, semantic layers, tests, docs, pull requests, incidents, and production reporting risk.
The operating principle
AI is useful. The boundary matters.
AI can draft, explain, compare, challenge, and accelerate. Humans still own grain, definitions, source authority, business rules, architecture, reconciliation, access, caveats, and release judgement. The kit turns that boundary into repeatable workflows instead of vague prompt advice.
- Use AI to understand unfamiliar repo areas without treating summaries as evidence.
- Review joins, grain, metric contracts, and semantic-layer assumptions before release.
- Document decisions, caveats, and review expectations so AI does not erase accountability.
Workflow library
Ten categories, six workflows each
01
Repo understanding
02
Requirements to model contract
03
SQL and dbt development
04
Grain, joins, and modelling risk
05
Testing and reconciliation
06
Semantic layer and metrics
07
Documentation and handover
08
PR review and repo health
09
Incidents and debugging
10
AI governance for analytics engineering
Sample workflow
Fanout risk review
The workflow cards are practical checks for real analytics engineering work. This example helps review whether a join structure could change the intended grain or inflate downstream metrics.
Inputs: SQL, join keys, row counts, intended grain, metrics.
Prompt: Review this SQL for fanout risk. Return risky joins, expected cardinality, row-count checks, aggregation risks, and safer modelling options.
Human owns: deciding whether the join structure matches the business question.
Questions
Workflow kit FAQ
Who is this for?
Analytics engineers, senior analysts, data consultants, and data team leads who want practical AI workflows without weakening control over business-critical numbers.
Is this a generic prompt pack?
No. The workflows are specific to analytics engineering work across dbt, SQL, semantic layers, tests, documentation, PR review, incidents, and governance.
What format do I receive?
A ZIP download containing the PDF workflow kit, readiness checklist workbook, implementation tracker CSV, public samples, asset style guide, and README.
Does it include consulting support?
No. This is a self-serve digital product. Bespoke analytics engineering, advisory work, or implementation support would need to be agreed separately.
Get the kit
Start with 60 practical AI workflows for analytics engineering
Launch price $9.99. Standard price $79. Delivered as a digital ZIP package after checkout.