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We dig into practical AI that saves time: personal LLMs, embedded features already in your tools, and AI‑native agents that take action, not just give answers. We share proof points, pitfalls, and simple ways teams can adopt safely and quickly.
- Personal LLMs as thinking partners and draft accelerators
- Embedded AI in email, slides, CRM, and meetings
- AI‑native tools mapped to roles like SDR and legal
- Agents that act: scrape, configure, reset, and schedule
- Quality, speed, and evidence versus laziness concerns
- Training, culture, and best‑case sharing for adoption
- Guardrails, verification, and human‑in‑the‑loop control
- Real‑world cases in support, retail, facilities, and QSR
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