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AI Workflows - Page 15
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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IBM TechnologyDon't trust agent demos. Measure how often they come back to you.
Always-on AI agents are here, but the real test is how much coordination they still require. Plus: 722 AI math papers and HackerRank's AI interviewer.
Theo - t3․ggHaiku 5.5 Finally Fills Anthropic's Small Model Gap — With a Trap
Anthropic finally has a small model worth using. Haiku 5.5 is cheap and fast but hides a pricing trap above 100K tokens. The real value is as a sub-agent for…
AI Engineer80% agent reliability means zero customer trust — here's proof
The eval flywheel from Amazon AGI Lab: why 80% reliability means zero customer trust, and how direct customer feedback beats static benchmarks.
AI EngineerBrains vs. hands: how to build production-safe AI agents
One engineer argues that production agent harnesses must be fully deterministic, with the LLM only writing proposals.
NeuralNineOpenAI's Decisions API: More expensive, slightly faster with images
OpenAI launches a Decisions API for fast classification. At 2.5x the cost of Jev with image support, it's a niche option for teams already in OpenAI's walled…
Cole MedinThe $21 lesson: use decision models for email triage, not LLMs.
Jev handled 38,000 decision calls for $21 before most inputs reached an LLM. The caveat: final context-heavy judgment still needs a language model.
Weights & BiasesWhy your coding agent costs explode and how to fix it
Cognition Labs reveals the training recipe behind SWE-1.7: asynchronous RL, precision replay, and a linear length penalty that determines whether your AI…
AI EngineerAI attacks move in minutes, so yearly pentests are no longer enough
Annual pentests cannot match AI-speed attacks. Snyk pitches continuous AI pentesting on every pull request. Ask the four hard questions.
OpenAIThe Real AI Cost Lever Is Cost Per Task, Not Token Price
Stop comparing token prices. OpenAI shows cost per completed task is the metric, with caching, tool calling, and batch APIs as levers. Savings require evals.
OpenAIStack Overflow's Codex playbook: segment agent autonomy by risk
Stack Overflow's two Codex experiments show agent autonomy needs guardrails, and agents may soon post answers under human names.
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