{ "schema_version": "1.1", "id": "atlas-enterprise", "slug": "enterprise", "title": "Enterprise", "url": "https://feed7.dev/atlas/enterprise", "current_answer": null, "implementation_consequence": null, "agent_context": null, "confidence": "auto_collected", "last_verified": null, "last_updated": null, "evidence": [ { "schema_version": "1.1", "id": "auto-bb03b50141", "slug": "introducing-cursor-router-bb03b50141", "url": "https://feed7.dev/p/introducing-cursor-router-bb03b50141", "title": "Introducing Cursor Router", "why_included": "Evaluate model routing by cost per shipped change, using repository-specific quality, latency, and code-retention signals.", "summary": "Cursor Router classifies coding requests and selects models by task and cost. Cursor reports lower spend in production tests, but the strongest evidence is limited to its own traffic and metrics.", "practical_implication": "Teams should test routing against cost per shipped change, not token price alone. Cursor’s classifier considers query, context, complexity, domain, model behavior, and cache misses; admins can set defaults and restrict models or modes.", "agent_context": "Cursor Router was trained on **600k+ live requests** and evaluated through A/B tests covering **millions of requests**. Cursor reports frontier-level satisfaction at about **60% lower cost** and offers Intelligence, Balance, and Cost modes.\n\nTeams should test routing against cost per shipped change, not token price alone. Cursor’s classifier considers query, context, complexity, domain, model behavior, and cache misses; admins can set defaults and restrict models or modes.\n\nThe reported **30–50% early-access savings** came from three high-volume accounts and used Opus 4.8 pricing as the counterfactual. Quality relies on Cursor’s satisfaction and code keep-rate signals, so results may not transfer to other harnesses or workloads.", "source": { "name": "Cursor", "url": "https://cursor.com/blog/router", "published_at": "2026-07-22T00:00:00.000Z" }, "source_class": "blog_post", "content_type": "Engineering Post", "layer": "tools", "domains": [ "coding" ], "topics": [ "model-selection", "coding-agents", "enterprise" ], "verification": { "status": "official_source", "label": "Official Source", "method": "source_feed", "verified_at": null }, "uncertainty": [], "connected_context": null, "lifecycle": "New", "published_at": "2026-07-22T00:00:00.000Z", "modified_at": "2026-07-22T00:00:00.000Z", "supersedes": [], "expires_at": null, "formats": { "html": "https://feed7.dev/p/introducing-cursor-router-bb03b50141", "json": "https://feed7.dev/p/introducing-cursor-router-bb03b50141.json", "markdown": "https://feed7.dev/p/introducing-cursor-router-bb03b50141.md" } } ], "conflicting_sources": [], "superseded_claims": [], "corpus_evidence": [ { "title": "Chat SDK now supports reactions and ephemeral messages on Teams", "url": "https://vercel.com/changelog/chat-sdk-reactions-and-ephemeral-messages-on-teams", "source_name": "Vercel", "published_at": "2026-07-31T00:00:00+00:00", "summary": "Chat SDK’s Teams adapter adds reactions, user-only ephemeral messages, custom token supply, and routing fixes useful for building safer agent approval and progress flows." }, { "title": "Advancing the price-performance frontier with GPT-5.6", "url": "https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6", "source_name": "OpenAI", "published_at": "2026-07-30T10:00:00+00:00", "summary": "OpenAI says GPT-5.6 Luna and Terra now cost less, which may change model-routing choices for agent workflows. The supplied material gives no prices or workload comparisons." }, { "title": "The Dirty Secret of Forward Deployed Engineering — Natalie Meurer, Sierra", "url": "https://www.youtube.com/watch?v=Byv311hdoHE", "source_name": "AI Engineer", "published_at": "2026-07-28T18:00:18+00:00", "summary": "Forward-deployed engineering is not one role but a stack of customer-accountable work. Coding agents now let those engineers carry field insight through to production changes." }, { "title": "How Forward Deployed Engineering is done at Decagon — Sunny Rekhi", "url": "https://www.youtube.com/watch?v=7wu2hsRfvV0", "source_name": "AI Engineer", "published_at": "2026-07-28T17:00:35+00:00", "summary": "Decagon splits deployment between configuring each customer’s agent and turning repeated enterprise requests into product features. The scarce skill is resisting brittle one-offs." }, { "title": "How Forward Deployed Engineering is done at Kepler — Vinoo Ganesh", "url": "https://www.youtube.com/watch?v=1OMHGsUZiqA", "source_name": "AI Engineer", "published_at": "2026-07-28T16:00:00+00:00", "summary": "Kepler frames forward deployment as product discovery: observe real work, ship the smallest useful fix, then turn repeated pain and customer vocabulary into durable product leverage." }, { "title": "Forward Deployed Engineering 101 — Kevin Bai, Anthropic, ex Palantir & Rippling Founding FDE", "url": "https://www.youtube.com/watch?v=KwhgfwOSToQ", "source_name": "AI Engineer", "published_at": "2026-07-28T15:00:06+00:00", "summary": "Forward-deployed engineering fits technical products sold to nontechnical buyers, but only when customer work composes shared platform primitives instead of creating bespoke codebases." }, { "title": "Regional inference now available on AI Gateway", "url": "https://vercel.com/changelog/regional-inference-now-available-on-ai-gateway", "source_name": "Vercel", "published_at": "2026-07-27T19:00:00+00:00", "summary": "AI Gateway can pin inference and retained provider data to the US or EU, giving agent builders one residency control with per-response verification across supported providers." }, { "title": "NTT DATA Group cuts incident analysis to 30 minutes with Codex", "url": "https://openai.com/index/ntt-data", "source_name": "OpenAI", "published_at": "2026-07-22T00:00:00+00:00", "summary": "NTT DATA reports using Codex and ChatGPT Enterprise across 9,000 employees, with incident analysis reduced to 30 minutes—a concrete enterprise adoption data point." }, { "title": "Forward Deployed Engineering at Cursor — Pauline Brunet", "url": "https://www.youtube.com/watch?v=APqXGyCoGW4", "source_name": null, "published_at": null, "summary": "Cursor’s FDE playbook treats agent deployment as co-development: choose measurable use cases, require customer ownership, avoid staff augmentation, and document the handoff." }, { "title": "GPT-5.6 is now the preferred model in Microsoft 365 Copilot", "url": "https://openai.com/index/gpt-5-6-preferred-model-microsoft-365-copilot", "source_name": null, "published_at": null, "summary": "Microsoft 365 Copilot now defaults to GPT-5.6 across five work surfaces, signaling wider enterprise use without giving builders performance or rollout data." }, { "title": "Australian Payments Plus moves faster with ChatGPT and Codex", "url": "https://openai.com/index/australian-payments-plus", "source_name": null, "published_at": null, "summary": "Australian Payments Plus uses ChatGPT Enterprise and Codex in payments work while retaining human judgment. The material claims time and quality gains but provides no metrics or workflow detail." }, { "title": "HP Inc. launches Frontier strategic partnership with OpenAI", "url": "https://openai.com/index/hp-frontier-partnership", "source_name": null, "published_at": null, "summary": "HP Inc. is scaling an OpenAI Frontier partnership to deploy AI across customer experience, software development, and enterprise operations. An enterprise-adoption signal, nothing builders can use directly." }, { "title": "Why B3 chose Android for secure AI-enabled productivity", "url": "https://blog.google/products-and-platforms/products/android-enterprise/b3-android-enterprise/", "source_name": null, "published_at": null, "summary": "Enterprise case study, not builder tooling: Brazil's B3 exchange rolled Android devices with built-in Gemini to about 1,000 employees in under two weeks, projecting 30% cost savings over a decade." }, { "title": "How agents are transforming work", "url": "https://openai.com/index/how-agents-are-transforming-work", "source_name": null, "published_at": null, "summary": "An OpenAI research paper argues AI agents now sustain longer, more complex tasks and lift productivity across roles. The vendor's own read on the delegation workflows agent-first builders already run daily." }, { "title": "Introducing organizations for Cursor Enterprise", "url": "https://cursor.com/blog/organizations", "source_name": null, "published_at": null, "summary": "Cursor Enterprise adds organizations: a teams-within-org hierarchy with per-team budgets, model access controls, and spend and token analytics rolled up in one admin dashboard." }, { "title": "Introducing Claude Tag", "url": "https://www.anthropic.com/news/introducing-claude-tag", "source_name": null, "published_at": null, "summary": "Claude Tag puts a persistent Claude in Slack channels: tag @Claude to delegate async tasks running hours or days on Opus 4.8. Beta for Team/Enterprise; Anthropic says it writes 65% of its product team's code." }, { "title": "Announcements", "url": "https://www.anthropic.com/news/seoul-office-partnerships-korean-ai-ecosystem", "source_name": null, "published_at": null, "summary": "Anthropic opens a Seoul office with a science-ministry MoU and enterprise rollouts: NAVER put Claude Code across its whole engineering org; Samsung SDS, LG CNS, and Nexon follow." }, { "title": "Ask an AI expert: What exactly is the full stack?", "url": "https://blog.google/innovation-and-ai/technology/ai/full-stack-ai-explainer/", "source_name": null, "published_at": null, "summary": "Google explainer pitching its integrated stack — TPUs, Gemini, an enterprise agent platform, and app surfaces — as one system. Mostly positioning, but it maps where Antigravity and AI Studio sit." }, { "title": "CFOs and the new economics of AI", "url": "https://cursor.com/blog/cfo-council", "source_name": null, "published_at": null, "summary": "Cursor is convening a CFO Council on AI ROI, and its telemetry is the useful part: cost per agent request varies ~9x across model families, and 84% of power users run multiple models weekly." } ] }