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AI Workflows - Page 7
How engineering teams turn AI tools into repeatable work. Curated tldw.news briefings about ai workflows, with practical engineering takeaways from long-form AI and developer-tool videos.
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Cole MedinWhy your AI coding agent keeps ignoring your rules—and how to fix
Rules are probabilistic instructions; hooks are deterministic guarantees. This video makes the case that most teams overload their agent rules with process…
AI EngineerAgent Advocacy: Why Developer Relations Must Rebuild for AI Users
Developer advocates must now serve AI agents as primary users. Learn why agent friction measurement and GEO are replacing traditional DevRel playbooks.
AI EngineerWhy skill curation matters more than the model for GTM agents
Cloudflare’s principal sales ops manager shows how three pillars—scalable analysis, automated insights, and self-service agents—can 2x GTM efficiency. The…
AI EngineerYour go-to-market team should be building AI agents, not just using them
Jeff Wang argues GTM is a data engineering problem and shows how Exa uses AI agents, internal dashboards, and a personal AI clone to automate sales…
AI EngineerWhy AI agent success depends on quality, not coverage
Snowflake deployed a GTM AI agent to 6,000 users. Key lessons: quality over coverage, change management dominates post-launch effort, and logs create…
AI EngineerStop designing AI workflows. Start designing AI environments instead.
Stanford and Together AI show that environments—not workflows—let AI agents solve open science problems. Agents recently solved a 40-year-old kissing number…
Latent SpaceVoice AI: The hard parts are pipeline design and latency, not models
Voice AI success hinges on pipeline orchestration, not model choice. Latency, cost, and reliability are the real constraints. Teams should expect a hybrid…
Y CombinatorLeya's $100M lesson: Skip fine-tuning, bet on better models
Leya's $100M ARR in 18 months without fine-tuning any model. The real lesson: bet on model improvement, obsess over workflow design, and freeze sales when…
GOTO ConferencesYour event terminology is probably wrong—and it's costing you coupling
Jacqui Read cuts through event-driven architecture confusion, separating commands from events, logs from queues, and hype from practice through the lens of…
Theo - t3․ggCoding is solved. Engineering isn't. Your verification loop is the real bottleneck.
Agents write code faster than humans, but they can't verify their own work. The bottleneck has shifted from generation to verification—and most teams aren't…
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