Everyone’s excited about AI agents. But a harder question remains: what would need to be true for them to actually stay aligned with the human job-to-be-done over time? Not just at the prompt, but across decisions, context, and collaboration. Curious how others think about this.

#AgentArchitecture #AgentEngineering #AgentMemory #RuntimeEvaluation #IntentModeling #LLMSystems #AgenticAI #AI #ArtificialIntelligence #JTBD

https://www.designative.info/2026/03/08/preventing-agent-drift-designing-ai-systems-that-stay-aligned-with-human-intent/

Preventing Agent Drift: Designing AI Systems That Stay Aligned With Human Intent » { design@tive } information design

What would it take for AI agents to truly support human work—capturing intent, preserving context, and staying aligned with real jobs-to-be-done?

{ design@tive } information design
Making Wolfram Tech Available as a Foundation Tool for LLM Systems

Wolfram's Foundation Tool supplements LLM foundation models with deep computation and precise knowledge. CAG (computation-augmented generation) underlies multiple access methods.

🤖 Stop building AI agents, says the guy who's ironically running a course on how to build LLM systems for the likes of Netflix and the U.S. Air Force—because clearly, they're in desperate need of his wisdom. 🙄 If only Hugo could teach us all how to stop contradicting ourselves while still raking in those course fees. 💸
https://decodingml.substack.com/p/stop-building-ai-agents #AIagents #Contradictions #CourseFees #LLMsystems #TechIrony #HugoInsights #HackerNews #ngated
Stop Building AI Agents: Use Smarter LLM Workflows

Discover why AI agents often fail and learn 5 proven LLM workflow patterns to build smarter, reliable systems without unnecessary complexity.

Decoding ML

Tiny-LLM – a course of serving LLM on Apple Silicon for systems engineers

https://github.com/skyzh/tiny-llm

#HackerNews #TinyLLM #AppleSilicon #LLMsystems #EngineersCourse #MachineLearning #GitHub

GitHub - skyzh/tiny-llm: A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.

A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen. - skyzh/tiny-llm

GitHub