AI Product GTM
Enterprise AI positioning, objection-handling und variable-cost pricing frameworks aus real deal cycles.
Getestet · Funktioniert
Was es kann
Ein pure-knowledge playbook for pitching autonomous AI products into enterprises: the 'who's responsible when it breaks' accountability objection, copilot-vs-agent-vs-teammate framing, and hybrid usage-based pricing. Triggers on GTM, positioning, objection-handling, and AI-pricing questions rather than generic marketing asks.
Testbericht
Asked it to reframe a stalled enterprise deal after ops rejected an 'autonomous agent' pitch: it produced the named Accountability Cascade (L1/L2/L3 ownership) and a concrete qualifying question, while an unaided answer stayed at generic 'add case studies and SLAs' advice.
Getestet am: 2026-07-14 · Claude Code 2.x (agent harness)
Installation
git clone https://github.com/beingsmit/technical-product-gtm cd technical-product-gtm mkdir -p ~/.claude/skills cp -r skills/ai-gtm ~/.claude/skills/ai-gtm
Befehle & Beispiel-Prompts
/ai-gtmEnterprise AI positioning, objection-handling und variable-cost pricing frameworks aus real deal cycles.
Skills reagieren auf normale Anfragen — keine Slash-Befehle nötig. Nach der Installation aktivieren Prompts wie diese den Skill (auf Englisch):
Security passed but ops rejected our AI deal, help reframe the pitch.What's the copilot-vs-agent framing for our enterprise AI pitch?Our AI feature usage varies 10x between customers, how do we price it?