Production-minded recipes with human approval, privacy, failure handling, pricing logic and delivery controls—not one-click automation promises.
Account setup, platform selection, a complete Make build, AI safety, tests, pricing, sales and client handoff.
Form → validation → AI classification → human approval → CRM → follow-up
Define required form fields and consent
Validate and normalize email, phone and company data
Classify need, urgency and fit using a fixed rubric
Require approval before changing deal stage
Create the CRM record and assigned-owner task
Send a logged, approved follow-up
Inbox → remove sensitive data → classify → retrieve approved answer → agent approval → reply
Define request categories and service-level targets
Remove or mask unnecessary personal data
Retrieve answers only from approved help content
Attach source links and confidence score
Require agent review for consequential replies
Log resolution, escalation and correction
Brief → source collection → outline → draft → fact check → editor → schedule
Create a brief with audience, goal and evidence standard
Collect primary sources and publication dates
Generate an outline mapped to sources
Draft with explicit citation placeholders
Run claim-by-claim editorial verification
Approve brand voice, rights and publishing date
Calendar → recording consent → transcript → decisions → tasks → project tool
Check attendee consent before recording
Store transcript in a restricted workspace
Extract decisions separately from suggestions
Assign tasks only after owner confirmation
Send a reviewable summary
Delete raw media according to policy
Email/upload → malware/type checks → OCR → field validation → duplicate check → accounting review
Accept only permitted file types and sizes
Scan and store originals immutably
Extract supplier, date, tax and amount fields
Compare totals and detect duplicates
Route exceptions to finance staff
Post only after approval and preserve audit trail
Data sources → quality checks → metrics → variance analysis → narrative → approval → distribution
Define one owner for every metric
Check freshness, missing data and anomalies
Calculate KPIs outside the language model
Provide the model a locked metric table
Require approval for conclusions and forecasts
Distribute with source and refresh timestamp
Mentions → deduplicate → sentiment/topic → risk rules → draft → community manager
Collect mentions through official APIs
Deduplicate reposts and spam
Classify topic, urgency and reputation risk
Generate a draft using approved tone rules
Escalate sensitive topics to a named owner
Publish only after approval and archive response
Payment/contract → workspace → checklist → welcome → milestone reminders → health score
Verify signed contract and payment event
Create least-privilege workspace access
Generate project checklist from purchased scope
Send approved welcome resources
Track missing inputs and milestone risk
Remove temporary access at project close
