I just replaced 2 months of work with 2 hours. No, this isn't hyperbole. Claude Co-Work launched last week, and it's the closest thing to hiring a Chief Operating Officer for just $20/month. Here's what makes it different from every other AI tool: It can access your actual files. Not "upload 5 documents and pray." I'm talking: → Entire folders → Hundreds of files → Thousands of rows of data → Everything on your computer And it processes all of it. Locally. In the background. While you're in other meetings. I gave it 100+ podcast transcripts + full YouTube analytics. The output? • Strategic insights from 100+ videos • Data-driven format recommendations • Complete presentation deck • Growth roadmap to 100K subscribers • Specific title formulas that convert In less time than a typical meeting. But here's what nobody's talking about: The $20/month isn't expensive. It's criminally cheap. What would you pay for a growth strategy on an important project? I'd pay thousands. And I just got one in 15 minutes. The real question isn't "Can AI do this?" It's "How many strategic projects are you NOT doing because they take too long?" That's the unlock. Comment "COWORK" and I'll send you 10 battle-tested Claude Co-Work prompts that access your folders and create real deliverables. These aren't basic ChatGPT prompts. These are production-grade workflows for people who actually ship. The future belongs to people who can orchestrate complexity. Not people who can type faster.

I spent 3 months evaluating conversational video AI for Synnc. The decision came down to one question: is perception a feature, or a foundation? 𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 Every creator joining Synnc needs a profile before our agentic GTM layer matches them with AI brands. → Personality, content style, brand voice, audience signal. Manual Zoom calls don't scale. Forms miss nuance. We needed AI interviews that read the room, adapt in real time, and run 24/7. 𝗪𝗵𝘆 𝗡𝗼𝘁 𝗛𝗲𝘆𝗚𝗲𝗻 HeyGen is excellent at what it was built for. $100M+ ARR, 100K+ businesses, SOC 2 Type II, and LiveAvatar now ships real-time. But HeyGen was architected rendering-first. Real-time conversation was layered on. 𝗪𝗵𝘆 𝗧𝗮𝘃𝘂𝘀 Tavus was built perception-first. Three foundational models, one pipeline: ↳ Raven-1 reads facial cues and environmental context ↳ Sparrow-1 handles conversational timing and turn-taking ↳ Phoenix-4 renders at sub-600ms end-to-end latency SOC 2 + HIPAA. $40M Series B led by CRV last month, $64M total raised. 𝗧𝗵𝗲 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗥𝘂𝗹𝗲 → Automating content generation? HeyGen. → Automating two-way conversation? Tavus. The pattern repeating at the agentic layer: ↳ Chatbots → AI agents ↳ Video generation → AI humans ↳ Static onboarding → Adaptive interviews 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗡𝗼𝘁𝗲 Conversational AI touching creator data needs SOC 2, data residency, and audit trails per session. Non-negotiable. Ours runs behind isolation, consent capture, and full transcripts. 𝗧𝗵𝗲 𝗦𝘆𝗻𝗻𝗰 𝗦𝘁𝗮𝗰𝗸 Daily → Deepgram → Pipecat → LangGraph → Mem0 → Tavus → ElevenLabs Built to profile creators at scale without a scheduling link in sight. PS → What's the one onboarding step that still needs a calendar invite? Drop "manual" below.