Convergence
Five operators converge on the same agent-design pattern: don't build an "AI-augmented" abstract layer. Enumerate the jobs-to-be-done. Map each to a named agent (or agent class). Insert named human checkpoints at the alignment-critical moments. The mapping is concrete, not generic.
Operators
- Evan Spiegel (Snap), Map agents 1:1 to enumerated jobs-to-be-done, not abstractly to "AI-augmented" workflows. Map agents 1:1 to enumerated JTBD, not abstractly to AI-augmented workflows.
- Amol Avasare (Ramp), Automate the four stages of a growth experiment; keep humans on alignment. CASH = Collect/Automate/Scale/Hire, agents handle the inner stages, humans alignment.
- Aishwarya Naresh Reganti, Continuous Calibration, Continuous Development (CCCD) is the operating loop for AI products. Continuous Calibration, Continuous Development is the operating loop; humans calibrate, agents develop.
- Yamini Rangan (HubSpot), Run agent-first GTM as a three-stage flywheel with one named agent per job and Start your AI-in-GTM build with customer support, fastest path to defensible value. Three-stage flywheel with one named agent per job; start with customer support for fastest ROI.
- Kieran Flanagan (HubSpot), Rebuild GTM around AI; do not integrate AI into existing GTM. Build a cross-functional pod that owns "AI in GTM" as one mandate, not as a bolt-on.
- Claire Vo, Onboard agents the way you onboard an EA: progressive trust, named tiers. Onboard agents like an EA: progressive trust, named tiers.
- Hamza Farooq, Agents come in three classes, tag each loop or under-resource it. Tag each loop as one of three agent classes or under-resource it.
Variation
- Spiegel and Yamini provide the mapping discipline (1:1 to JTBD, named agent per job).
- Avasare and Reganti provide the operating loop (CASH, CCCD).
- Kieran provides the org structure (cross-functional pod with single mandate).
- Vo provides the trust onboarding ramp.
- Farooq provides the taxonomy for resourcing.
- Convergence: refuse abstraction. Each agent has a name, a job, a checkpoint, a class.
Implication
Before building any agent, write the JTBD list. Before deploying, name the human checkpoint and the trust tier. Before scaling, classify the agent (Spiegel/Farooq taxonomy) and decide its loop (CASH/CCCD). If you can't draw the wiring diagram on a whiteboard, you're not ready to build.
Sources
- ins_jtbd-as-agent-wiring-diagram, Evan Spiegel
- ins_cash-four-stage-growth-automation, Amol Avasare
- ins_cccd-continuous-calibration, Aishwarya Naresh Reganti
- ins_agent-first-gtm-flywheel, Yamini Rangan
- ins_start-with-support-fastest-ai-roi, Yamini Rangan
- ins_rebuild-gtm-around-ai, Kieran Flanagan
- ins_progressive-trust-onboarding, Claire Vo
- ins_three-class-agent-taxonomy, Hamza Farooq