Tyler Roessel
A blueprint for turning ambiguity into useful operating work.
Building AI-enabled GTM and operator workflows across source review, CRM memory, reusable skills, and practical systems people can run.
Tyler Roessel
Building AI-enabled GTM and operator workflows across source review, CRM memory, reusable skills, and practical systems people can run.
Operating patterns for source review, CRM memory, review queues, and safe action.
02 SkillsUsable SKILL.md files for repeatable workflows and handoffs.
03 ReposPublic repositories with architecture, workflows, and reusable operating patterns.
04 / Field Notes
The latest writing follows what is active now: GTM systems, review loops, operating constraints, and the practical work of turning AI into useful workflows.
New / GTM conversion architecture The Fallacy Of The Stage Change A CRM stage should not be treated as progress until the buyer evidence underneath it can survive manager review.
New / GTM conversion architecture The Next GTM Metric Is Sales Capacity AI can expand GTM motion. The operating question is whether the system protects the human attention needed to qualify, persuade, and convert the right accounts.
New / GTM conversion architecture GTM Activity: Can Your System Convert It? AI expands GTM activity. GTM architecture decides what converts through validation, data liquidity, human judgment, and operating guardrails.
New / AI platform economics China Could Not Export WeChat. It Is Exporting The Model Layer. China may not need to export a Western super app if DeepSeek, Qwen, Kimi, and GLM become the model layer underneath the software companies already use.
05 / Public Proof
The public repos show the systems architecture. The skills show the reusable operating instructions behind source review, CRM handoff, evidence contracts, and decision support.