After exploring tools like Retell AI, one thing is clear: AI voice agents aren’t some “5 years from now” technology. They’re operational today. A simple setup can: – Answer inbound calls – Ask qualification questions – Book appointments – Update CRM automatically – Trigger follow-ups The real shift isn’t the voice. It’s the integration. When voice AI connects to workflows (CRM, calendar, automation tools like n8n), it stops being a chatbot and becomes an operator. For service-based agencies, missed calls = missed revenue. The question isn’t “Is AI ready?" The question is “Are our systems ready to use it?” Would you test an AI voice agent in your business this year?

are these posts by bots or first task inside liams ai classroom/course?

looking to hire ai automators that have experience with building in following areas - experience with nvidia spark or dual gpu systems for local/self hosted ai powered automations - knowledge of llama.cpp, docling, qdrant, ultravox, twillio, n8n, python if you are using tools like zapier, make, ghl, airtable, digitalocean please do not apply. be ready to provide a full resume, portfolio and verifiable customer references.

what goals do you have around AI automation in 2026? Share your goal with the community. It helps stay accountable.

Trying to search for people actually landing clients and trying to find real world numbers from a consultant and a builder standpoint. If youre landing clients and getting paid, please post some of your success stories and specifics, thank you!