How to use AI voice and chat agents to grow revenue, cut costs, and improve customer experience — AI strategy, sales, customer service, lead generation, enterprise adoption, and real customer results.
From the blog
Adoption Across San Francisco, New York, Boston, and Austin perspective on Aura 2 is Deepgram's TTS engine tuned for the latency and prosody constraints of real-time voice agents.
Adoption Across San Francisco, New York, Boston, and Austin perspective on Devin 4 ships with longer task horizons, better PR quality, and pricing that finally makes economic sense for production
Sales and RevOps Lens perspective on Gemini 3 Pro lands with longer context, native multimodality, and tool-use upgrades that put it back in the Claude/GPT conversation.
Sales and RevOps Lens perspective on Antigravity is Google's answer to Cursor and Windsurf — an IDE built around long-running, parallel agent workflows.
Sales and RevOps Lens perspective on GPT-5.5 ships with smarter routing, faster tool use, and expanded thinking budgets — here is what matters if you are building agents.
Adoption Across San Francisco, New York, Boston, and Austin perspective on LangGraph's 1.0 release stabilizes the API and adds the production primitives that early adopters had been hand-rolling.
Adoption Across San Francisco, New York, Boston, and Austin perspective on Letta (formerly MemGPT) hit 1.0 as a full agent OS — memory, tools, runtime, and dashboard in one platform.
Adoption Across San Francisco, New York, Boston, and Austin perspective on LlamaIndex's workflow framework matured into a real agentic primitive that competes with LangGraph and CrewAI.
Sales and RevOps Lens perspective on AgentKit 1.0 is OpenAI's bid to own the agent runtime layer — visual builder, hosted state, and one-click deploy.
