Show: Training Data · Publisher: Sequoia Capital · Host: Sonya Huang, Pat Grady
Episode URL: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI9803179915.mp3
Publish date: 2025-09-30
Duration: NAs
Default source credibility: HIGH — Sequoia partners interview frontier-lab founders + F500 AI buyers. VC-hosted — portfolio-company framing on recommendations; named guest metrics stay HIGH. Peer-tier to No Priors in quality.
- Block’s AI-first approach, exemplified by Goose, is transforming internal processes, enhancing developer productivity, and enabling non-technical staff to create complex software tools autonomously.
- Goose, an open-source AI agent, is used widely across Block, saving up to 25% of manual hours and enabling developers to focus on higher-level tasks, with a goal to increase this metric further.
- Block emphasizes open-source contributions and sees Goose as a tool to democratize AI capabilities, allowing for rapid development and innovation across various business functions.
Extracted quotes
| # | Credibility | Speaker | Org | Timestamp | Topic | Quote |
|---|---|---|---|---|---|---|
| 1 | HIGH | Dhanji Prasanna (Chief Technology Officer) | Block | 32:10 | 02-corporate-tools | We have a metric internally, which we track on a weekly basis. And that metric is very simply manual hours saved by Goose. And that metric started at 0%. And now it’s going to hit probably 25% of manual hours saved by the end of the year. |
| 2 | HIGH | Dhanji Prasanna (Chief Technology Officer) | Block | 12:48 | 02-corporate-tools | Goose is used by the majority of the company now, but they also use several other AI tools, which I’m very happy to do. I think if we can’t compete on Goose with those tools, then Goose isn’t doing its job. |
| 3 | HIGH | Dhanji Prasanna (Chief Technology Officer) | Block | 27:14 | 01-ai-native-landscape | We have a pluggable provider system so we can essentially use any LLM that’s capable of tool calling. So should I think about Goose as a LLM tool use loop? Is that the foundational architecture? |
Per-quote detail
1. Dhanji Prasanna — Block (32:10)
We have a metric internally, which we track on a weekly basis. And that metric is very simply manual hours saved by Goose. And that metric started at 0%. And now it’s going to hit probably 25% of manual hours saved by the end of the year.
- Stat: 25% of manual hours saved by Goose, measured weekly, Block, 2025.
- Credibility: HIGH — Named exec at identifiable org with specific metric with denominator and unscripted interview.
- Topic tag:
02-corporate-tools
2. Dhanji Prasanna — Block (12:48)
Goose is used by the majority of the company now, but they also use several other AI tools, which I’m very happy to do. I think if we can’t compete on Goose with those tools, then Goose isn’t doing its job.
- Stat: null
- Credibility: HIGH — Named exec at identifiable org with specific claim and unscripted interview.
- Topic tag:
02-corporate-tools
3. Dhanji Prasanna — Block (27:14)
We have a pluggable provider system so we can essentially use any LLM that’s capable of tool calling. So should I think about Goose as a LLM tool use loop? Is that the foundational architecture?
- Stat: null
- Credibility: HIGH — Named exec at identifiable org with specific claim and unscripted interview.
- Topic tag:
01-ai-native-landscape
Extracted 2026-04-14T18:27:09 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).