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Devil's Analyst: the devil's advocate on your marketing team. It argues with the marketing data your agent pulls through its connectors (GA4, Google Ads, Meta, Search Console, email platforms, CRMs, Shopify, warehouses, Power BI) before you act on it: numbered checks for each area, an adversary for every move, and routing that reshapes the question to the data available. The model can do the maths; this makes it ask the questions.

Second Read: the colleague you send it to before you hit send. Reviews emails, social posts, landing pages, blog posts and technical docs (READMEs, tutorials, how-tos, reference, release notes), proves every fix with a quote and a named rule, leaves correct details alone, and rewrites without inventing facts.

Power BI as code, in conversation. Prototype a semantic model for your own data and hand engineers a spec; explain TMDL lint findings; plan how to bring client models in line with one template. Running the four command-line tools needs a local shell; in ChatGPT the skills interview, write specs and read pasted tool output.