Skip to content
ClaudeClaude

Making agentic workflows trustworthy and verifiable with a custom DSL

System design of agentic research assistant built unconventionally: one component outputs plan in custom Turing-incomplete programming language, another interprets it, quiver of models executes concrete tasks. Architectural choices as concrete instantiations of company values.

May 22, 202629mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
May 22, 2026
Duration
29m
Channel
Claude
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

System design of agentic research assistant built unconventionally: one component outputs plan in custom Turing-incomplete programming language, another interprets it, quiver of models executes concrete tasks. Architectural choices as concrete instantiations of company values.

EPISODE SUMMARY

In this episode of Claude, Making agentic workflows trustworthy and verifiable with a custom DSL explores elicit’s DSL makes agent workflows legible, faithful, and cacheable execution The talk argues that identical outputs should not be equally trusted because the internal mechanism (model choice, tooling, critique, token spend) materially changes reliability and risk.

RELATED EPISODES

What does AI actually know about you?

What does AI actually know about you?

Can you trust what AI tells you?

Can you trust what AI tells you?

How Ramp engineers work with AI agents at every step

How Ramp engineers work with AI agents at every step

What happens when you talk to AI?

What happens when you talk to AI?

How auto mode works with Claude Code

How auto mode works with Claude Code

Building AI-native across industries with NTT, Mizuho and Mercari

Building AI-native across industries with NTT, Mizuho and Mercari

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.