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<rss version="2.0"><channel><title>Intelligent AI Systems Review</title><link>https://intelligentaisystemsreview.com/</link><description>Source-based analysis of the tools, systems, economics, and oversight behind useful AI agents.</description><item><title>Genspark’s Gen-1 Slides makes finished work the agent’s job</title><link>https://intelligentaisystemsreview.com/articles/the-useful-enterprise-agent-starts-with-a-bounded-job/</link><guid>https://intelligentaisystemsreview.com/articles/the-useful-enterprise-agent-starts-with-a-bounded-job/</guid><description>Genspark’s September 2026 specialist model ties autonomy to the creation, inspection, and revision of a usable presentation.</description></item><item><title>Cursor’s new bots follow code beyond the pull request</title><link>https://intelligentaisystemsreview.com/articles/coding-autonomy-should-be-judged-by-the-repaired-system/</link><guid>https://intelligentaisystemsreview.com/articles/coding-autonomy-should-be-judged-by-the-repaired-system/</guid><description>The September launch of Rollouts and Security Reviewer extends Cursor’s agents from generating patches to monitoring their consequences.</description></item><item><title>An office agent’s hardest handoff is the editable file</title><link>https://intelligentaisystemsreview.com/articles/browser-agents-need-a-receipt/</link><guid>https://intelligentaisystemsreview.com/articles/browser-agents-need-a-receipt/</guid><description>GenOffice and Gen-1 Slides put the handoff to a human editor at the center of the office-agent promise.</description></item><item><title>Microsoft brings Claude’s tool connections into Foundry</title><link>https://intelligentaisystemsreview.com/articles/mcp-solves-a-connection-problem-not-the-whole-permission-problem/</link><guid>https://intelligentaisystemsreview.com/articles/mcp-solves-a-connection-problem-not-the-whole-permission-problem/</guid><description>Foundry’s August Claude integration shows how tool discovery and connection management are becoming platform capabilities.</description></item><item><title>Claude’s tool-use push makes interface design a reliability issue</title><link>https://intelligentaisystemsreview.com/articles/a-tool-call-is-a-decision-that-deserves-a-test/</link><guid>https://intelligentaisystemsreview.com/articles/a-tool-call-is-a-decision-that-deserves-a-test/</guid><description>Tool search and usage examples expose a practical limit on agent autonomy: the model must understand what each interface actually does.</description></item><item><title>Persistent projects make agent memory a software-state problem</title><link>https://intelligentaisystemsreview.com/articles/agent-memory-needs-an-expiration-policy/</link><guid>https://intelligentaisystemsreview.com/articles/agent-memory-needs-an-expiration-policy/</guid><description>Cursor Projects and Anthropic’s long-running experiments show why remembering the conversation is only part of preserving progress.</description></item><item><title>Anthropic’s compiler experiment exposes the real work of agent handoffs</title><link>https://intelligentaisystemsreview.com/articles/more-agents-require-a-better-handoff/</link><guid>https://intelligentaisystemsreview.com/articles/more-agents-require-a-better-handoff/</guid><description>The 16-agent compiler prototype and Claude Research used different coordination mechanisms because they had different work to finish.</description></item><item><title>More agents do not automatically produce independent judgment</title><link>https://intelligentaisystemsreview.com/articles/an-ai-debate-is-not-automatically-an-independent-review/</link><guid>https://intelligentaisystemsreview.com/articles/an-ai-debate-is-not-automatically-an-independent-review/</guid><description>A compiler reference and a deliberately isolated permission checker illustrate why multiple agreeing models are not enough.</description></item><item><title>Managed Agents moves orchestration into the infrastructure layer</title><link>https://intelligentaisystemsreview.com/articles/the-manager-agent-needs-a-cancellation-button/</link><guid>https://intelligentaisystemsreview.com/articles/the-manager-agent-needs-a-cancellation-button/</guid><description>Anthropic’s April architecture separates durable sessions, execution, and the changing logic that directs long-running work.</description></item><item><title>Agent reliability starts with the result the system leaves behind</title><link>https://intelligentaisystemsreview.com/articles/reliability-means-succeeding-again/</link><guid>https://intelligentaisystemsreview.com/articles/reliability-means-succeeding-again/</guid><description>Anthropic’s evaluation and infrastructure studies show why a fluent final answer and a leaderboard score can both miss the real outcome.</description></item><item><title>Claude’s auto mode separates dangerous actions from persuasive explanations</title><link>https://intelligentaisystemsreview.com/articles/the-document-an-agent-reads-must-not-become-its-boss/</link><guid>https://intelligentaisystemsreview.com/articles/the-document-an-agent-reads-must-not-become-its-boss/</guid><description>The March permission design and September enterprise safeguards address different layers of the authority problem.</description></item><item><title>Self-correcting agents need evidence outside their own narrative</title><link>https://intelligentaisystemsreview.com/articles/self-correction-needs-a-trustworthy-signal/</link><guid>https://intelligentaisystemsreview.com/articles/self-correction-needs-a-trustworthy-signal/</guid><description>Cursor’s deployment monitoring and Anthropic’s testing reports ground self-correction in observations that can contradict the model.</description></item><item><title>Cursor’s efficiency work puts the agent harness on the cost ledger</title><link>https://intelligentaisystemsreview.com/articles/the-cheapest-model-can-be-an-expensive-worker/</link><guid>https://intelligentaisystemsreview.com/articles/the-cheapest-model-can-be-an-expensive-worker/</guid><description>The September efficiency release shows how prompt structure, tool loading, and caching affect the price of autonomous work.</description></item><item><title>Cursor Router makes model selection part of the agent’s work</title><link>https://intelligentaisystemsreview.com/articles/routing-is-a-product-decision-as-well-as-an-infrastructure-choice/</link><guid>https://intelligentaisystemsreview.com/articles/routing-is-a-product-decision-as-well-as-an-infrastructure-choice/</guid><description>The July launch and August engineering account explain the signals behind automated model choice—and what those signals cannot prove.</description></item><item><title>Long-running agents make context an operating expense</title><link>https://intelligentaisystemsreview.com/articles/context-has-a-carrying-cost/</link><guid>https://intelligentaisystemsreview.com/articles/context-has-a-carrying-cost/</guid><description>Cursor’s efficiency changes and Anthropic’s context architecture show why useful memory must be selective, inspectable, and refreshable.</description></item></channel></rss>