Beth 2.0: from team expertise to founder outcomes

Beth 2.0: from team expertise to founder outcomes Beth expertise collection and review workflow. 01 / Build and use the knowledge 02 / Research and specialist delivery 03 / Controlled learning loop Team interviews · Specialist · manager · expert · Build and use the knowledge · 24 topics + 36 service cards Team interviews Specialist · manager · expert 24 topics + 36 service cards Review & approve · Evidence · scope · owner · Build and use the knowledge · Proposed publication gate Review & approve Evidence · scope · owner Proposed publication gate Backend library · Knowledge + scope + prices · Build and use the knowledge · Versioned inputs Backend library Knowledge + scope + prices Versioned inputs Beth + founder · Questions → package + report · Build and use the knowledge · Pretrained AI + price engine Beth + founder Questions → package + report Pretrained AI + price engine Source research · Rules + market benchmarks · Research and specialist delivery · Primary rules; private prices Source research Rules + market benchmarks Primary rules; private prices Specialist case · Consent · assignment · delivery · Research and specialist delivery · Live chat or follow-up Specialist case Consent · assignment · delivery Live chat or follow-up Reviewed examples · Approved questions + outcomes · Controlled learning loop · De-identify; check permission Reviewed examples Approved questions + outcomes De-identify; check permission Optional training · Evaluate or fine-tune later · Controlled learning loop · Separate project; not active Optional training Evaluate or fine-tune later Separate project; not active Job evidence · Actual hours · cost · quality · Controlled learning loop · Proposed measured feedback Job evidence Actual hours · cost · quality Proposed measured feedback Draft inputs Primary evidence Review + redact Curated dataset Agree + hand off Record results Approved version Review effort + prices Guidance + fees Legend User UI Agent logic Policy Context / trace Cloud service External system

Working in the demo

  • • Completed, confirmed service cards and costs can change your draft quotes.
  • • Beth uses a pretrained AI; package prices come from a separate calculation engine.

Next build: approved knowledge

  • • Interview prose needs expert approval and publication before it changes advice.
  • • Commercial benchmarks stay internal; founder advice cites primary authorities.

Learning is a controlled loop

  • • Measure completed jobs, then approve revised effort and price versions.
  • • Saving a chat does not train a model. Training requires a separate reviewed dataset.