@Jorden Williams @Assistable Team this is something we have been needing for quite some time now. We need better API's for onboarding scenarios like: *When a location is created under a workspace, we can assign a phone number to that location. *When a location is created under a workspace, we can get the billing link info sent to us so we can automate billing setup. *When a location is created under a workspace and the number has been assigned to that assistant created by the snapshot, "automatically", we can have that assistant ID pushed to us in GHL. These three things are stopping us from automating onboarding as soon as there is a signup. For those who are pushing after-hour call answering or anything similar, speed to lead is where this is hurting us. There are many AI platforms that have something similar to this, where the person signing up can do this by logging into the platform directly, but the idea is not to have the client get access to the system at all and to get rid of the need for onboarding entirely. I would love to hear your thoughts on this and maybe a solution that we can implement. One last thing. I think there needs to be better walls put up on each sub-account, once rebilling is turned on, that will pause the account once it reaches zero instead of going into the negative.

Hey Assistable community! 👋 I’m building out voice AI assistants for clients (inbound/outbound calls via dedicated phone numbers), and I have a question about how the AI learns/adapts from real conversations. Scenario: My client calls the AI’s designated phone number and shares specific info (e.g., details about their business, preferences, products, FAQs, etc.) – essentially “training” it verbally during the call. 1. Will the AI store and remember everything shared in that conversation for future interactions (with that contact or generally)? 2. More importantly, can the client effectively “train” the assistant this way – meaning, does the info get pulled into the permanent conversation memory, or even better, auto-indexed/used to improve the knowledge base over time? I know Assistable has permanent conversation memory and KB features (with thumbs up/down voting in the inbox), but I’m curious if verbal/phone-based sharing translates directly into persistent learning for the assistant. Has anyone set this up for clients who want to self-train their AI without going into the dashboard? Any tips or gotchas? Thanks in advance – love how powerful this platform is! 🚀

This may be more of a GHL question, but for some reason, LeadConnector has started to automatically send this text to callers who book through my assistables.ai voice agent: "Your calling preferences have been updated and your number has been added to an internal DNC list. Reply STOP to unsubscribe." It didn't do this a few days ago. No change to the workflow the agent is using. No DND fields are checked or anything like that. Nothing in the audit logs. When I click the three dot details in the conversation stream I see the attached. Anyone know how to avoid this (clearly annoying and not needed) SMS to users?

Been struggling lately with one of my global prompts giving me consistent results. Won't go into all the details but having issues like repeating itself, saying what it is doing out loud vs behind the scenes, not hanging up after call, etc. Plenty of prompt troubleshooting and editing hasn't been a home run. I had been using GPT 4.0 forever and experimented with 5.0 today. Haven't had a chance to look at the others yet. 5.0 is not much better, really. **Any recommendations for the best model these days?**

Anybody else having issues with the assistant checking availability? It never seems to go through. Just stalls.