According to DeepLearning.AI, a free Context Engineering course built with Chroma teaches how to supply agents the right information at the right time, taught by Jeffrey Huber with guest speaker David Ha.

According to @_avichawla, Jev powers 12 agentic patterns from DOM actions to retrieval reranking, boosting reliability with typed answers and probabilities.

According to DeepLearningAI, a free course shows how to build on-device assistants with local vector search for text, voice, and images using Qdrant.

According to @emollick, Claude Fable 5.1 created an annotated guide to Eliot’s The Waste Land with pathways, audio, and scholarship.

According to OpenAI... GPT-6 Astra adds tools and context for law firms, promising faster research, drafting, and review with controllable settings.

According to @godofprompt, a prompt flags documentation lines an AI agent should no longer follow, enabling automated policy and spec drift detection.

According to DeepLearningAI, a new context tool helps agents reduce memory bloat and API spend for production retrieval, as reported by The Batch.

According to @emollick, AI agents now review published papers, flagging errors and opportunities, signaling disruptive change for academic workflows.

According to @emollick, GPT-6 autonomously built a multi-GB personal wiki from emails and files in 5 days and now delivers twice-daily briefings.

According to @godofprompt, new research shows context compaction deletes safety rules faster than task data, risking long-running AI agents.

According to @godofprompt, Stanford's Storm reads the web and delivers multi-perspective, cited reports, free to try in browser, per Stanford HAI.

According to @godofprompt, a new paper shows context compaction erases safety rules in long-running agents faster than other info, risking policy drift.

According to @emollick, OpenAI ended Agent Builder in June 2026 after touting it in Oct 2025, prompting enterprises to reassess agent stacks.

According to @DeepLearningAI, Grok 4.6 halves turns for long tasks, cutting agentic app costs; see architecture details via DeepLearning.AI link.

According to @godofprompt, memory tools got current answers right ~20%, and a state-tracking fix doubled accuracy across backends.

According to @godofprompt, Tsinghua shows extra overlapping or off-target skills slash agent success by up to 23 pts; a budgeted selector lifts wins.

According to Stanford AI Lab, LLMs now outperform embedding models but at higher cost; choose based on quality needs, latency, and budget.

According to @_avichawla, a 12-system study finds agent reliability hinges on write-time structured memory, with graph methods beating flat stores.

According to @emollick, Google’s NotebookLM outperforms ChatGPT Work by centering process and sources across 70+ files, improving auditability and trust.

According to satyanadella, Microsoft debuts Frontier Co. to help enterprises build proprietary AI systems that compound knowledge and improve.