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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · AssemblyAI blog English(EN) · · [2 sources]

    Build a Voice Agent for Telehealth Triage

    AssemblyAI has released a Voice Agent API that allows developers to build sophisticated voice applications for specific industries. The API integrates speech-to-text, LLM, and text-to-speech capabilities into a single WebSocket, simplifying the development of complex conversational agents. This enables the creation of applications like telehealth triage systems that can capture patient symptoms and route them appropriately, or AI-powered cold-calling agents that qualify leads and book meetings, all while adhering to industry-specific compliance requirements. AI

    IMPACT Enables developers to build specialized voice AI applications for industries like healthcare and sales with integrated compliance features.

  2. COMMENTARY · Fortune English(EN) ·

    $30 billion Twilio CEO wakes at 4:30 a.m., works Sundays and runs laps around his house between meetings to blow off steam

    Twilio CEO Khozema Shipchandler adheres to an intense work schedule, waking at 4:30 a.m. and working until 9 p.m. He believes this demanding routine, which includes running laps around his house for stress relief, is crucial for leadership success. Shipchandler's disciplined approach, influenced by his immigrant parents' work ethic, has led him to executive roles at a young age. He acknowledges this lifestyle requires significant sacrifice, impacting personal time and family commitments. AI

    $30 billion Twilio CEO wakes at 4:30 a.m., works Sundays and runs laps around his house between meetings to blow off steam
  3. TOOL · dev.to — Claude Code tag English(EN) · · [3 sources]

    AI dropped my per-feature ship time from 3 days to 3 hours. Here's the actual stack.

    Developers are increasingly using AI agents to accelerate software development, with one user reporting a 55% cost and 40-50% time saving on an MVP build by employing specialized agents for tasks like architecture, coding, and QA. However, challenges remain, including the significant cost of running these agents and the persistent need for human oversight to manage bugs and integration. Preventing AI agents from entering infinite loops is also a critical concern, addressed by implementing iteration caps, deduplicating tool calls, and detecting semantic loops to avoid excessive costs and ensure task completion. AI

    AI dropped my per-feature ship time from 3 days to 3 hours. Here's the actual stack.

    IMPACT AI agents are improving developer productivity and reducing costs, but require careful management to avoid loops and ensure code quality.