Public teardown library
Every public result keeps the joke attached to a useful buyer artifact: claim, hidden assumptions, one main badge, supporting risks, and one-week test. Newest verdict first.
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Salesforce
Salesforce Salesforce Summer '26 Release
“AI agents sound cool until you realize humans still babysit CRM fields, routing, and meeting quality daily.”
Salesforce's AI features depend heavily on human setup, review, and ongoing management of conversation data, routing, and CRM integration to impact GTM execution effectively.
RevOps automation
Salesforce Spring '26 Release“Promises AI magic but hides the new routing rules, field cleanups, and manager training needed to avoid a RevOps pileup.”
Salesforce’s AI features automate workflows but require heavy upfront setup, new routing logic, and ongoing CRM data governance to avoid creating more RevOps headaches.
Hidden assumptions
CRM fields are clean and standardized · Routing rules can incorporate AI recommendations without conflicts
AI SDR / outbound
Salesforce Agentforce Sales“Salesforce's 'AI agents' sound autonomous but need humans babysitting CRM fields and routing rules to avoid chaos.”
AI agents automate CRM field updates, meeting bookings, and quoting with human-in-the-loop controls, requiring rigorous workflow integration and data governance.
Hidden assumptions
CRM data is clean enough for AI to prioritize prospects correctly · Routing rules exist and are maintained to assign leads to correct reps
AI SDR / outbound
Salesforce Agentforce Operations“Promises AI autonomy but expect armies of admins updating blueprints, handling exceptions, and juggling CRM fields.”
Autonomous AI agents automate multi-system back-office tasks but require extensive setup, blueprint maintenance, and human exception handling in CRM and workflows.
Hidden assumptions
AI agents can accurately interpret unstructured data to update CRM fields without errors · Legacy systems allow seamless cross-system automation with no data loss
