What started as a simple experiment has turned into 7 different AI call assistants, with another one currently in development. Some of the capabilities I've implemented so far: • Inbound call handling• Outbound calling workflows • Lead qualification• Appointment scheduling • Rescheduling and cancellations • SMS confirmations and follow-ups • Reminder calls before meetings • CRM updates and record management • Call transfers when needed • Multi-step business workflows The most interesting challenge wasn't getting the AI to talk. It was getting it to remember. One of the assistants can remember previous conversations across multiple calls, retrieve historical context, and continue the conversation naturally instead of treating every call like it's the first interaction. Building these systems taught me that the hard part isn't the voice model itself—it's the orchestration behind the scenes. Memory, workflows, CRM integration, scheduling logic, error handling, and all the small edge cases end up being where most of the work happens. Still a lot to improve, but it's been fascinating seeing how far AI voice technology has come in such a short time. Curious what everyone else is building in the voice AI space right now.

AI cinema just took a massive leap forward. Higgsfield Cinema Studio is a creator-first cinematic workflow that turns a single, intentional frame into a polished, film-grade shot — without complex prompting, timelines, or filmmaking experience. Instead of guessing and iterating endlessly, Cinema Studio gives you real cinematic control: composition, camera movement, mood, and realism — all in one clean, focused studio. In this video, I’ll walk you through my full workflow inside Higgsfield Cinema Studio, showing how to go from image to cinematic video using real camera movement presets, film-trained aesthetics, and intentional motion. This is one of the cleanest, most cinematic AI video tools available right now — and easily one of the cheapest AI platforms delivering this level of quality.

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