Zack Reneau-Wedeen is the Head of Product at Sierra, the conversational AI platform behind customer-facing agents for most of the Fortune 20. Before Sierra, he spent seven years at Google as the founding PM for Google Lens and Google Podcasts, then led product at Robinhood and CoinTracker. Sierra is mostly known for customer support, but Zack reveals how and why the company is building agents that span the entire customer lifecycle, from browsing and booking to sales and loyalty. In this conversation, he argues agentic commerce will be bigger than e-commerce, explains why he's a "monolith loyalist", and unpacks why, when a model looks dumb, the problem is usually you.
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We also discuss:
- How Sierra's no-code layer compiles down to agent code, and back again
- Why most multi-agent systems just ship your org chart
- Inside Sierra's modular voice architecture: thinking, listening, and talking in parallel
- Why Sierra built a PCI-certified stack for voice payments
- How outcome-based pricing aligns incentives
- Why there's no breakout memory company
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Timestamps:
00:00 Introduction
03:39 Analyze, build, release: how you build on Sierra
07:54 Inside Ghostwriter
11:04 Meeting models on their turf “80% of the time
17:47 The one constraint Claude Code doesn't have
19:35 Agent-to-agent: when an API call still beats MCP
21:02 Why agentic commerce will be bigger than e-commerce
27:31 Running models in parallel and ensembling transcription
32:22 Inside the Agent Data Platform
40:00 Context engineering: everything it needs, nothing more
41:38 "Whenever you think the model's too dumb, the model's actually too smart"
46:13 Why multi-agent systems are a trap
48:44 Voice 101: latency, naturalism, and 60 languages
56:11 When voice-to-voice passes 50%: the over/under
57:03 Making memory a first-class primitive
1:02:47 Why there's no breakout memory company
1:08:02 Why the solution to all AI problems "is more AI"
1:09:20 Why Sierra open-sources the tau-bench universe
1:14:42 How outcome-based pricing aligns incentives
1:20:26 Who thrives as a forward-deployed agent builder
1:22:16 The Formula One analogy: why product is the bottleneck
1:25:47 How Sierra interviews for agency
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References:
- Agent2Agent (A2A) Protocol
- Anthropic
- ChatGPT
- Claude
- Claude Code
- Claude Mythos
- Claude Opus 4.5
- Codex
- Deep Agents
- Gemini
- Hawaiian Airlines
- LangGraph
- Model Context Protocol (MCP)
- Not Another Workflow Builder
- Redfin
- Sentry
- Shopify
- Silero
- SiriusXM
- Stripe
- Tau-bench
- Thinking Machines Lab
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Where to find Zack:
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Where to find Harrison:
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Where to find LangChain:
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Send feedback or questions to [email protected]
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