Find published research by company, product, platform or technology.
Showing 101–120 of 139 dossiers
Email open tracking is becoming a consent-controlled data source rather than a default analytics primitive. Klaviyo’s new controls can remove opens from reporting, attribution, segments and flow triggers for recipients who should not be tracked.
Codex 0.149.0 includes the async-message tool, delivery metadata and removal of the client-side feature gate that BTN previously tracked only on main. Parallel human-agent work is now in a stable client, but late replies can still race with decisions and model capability metadata remains the final exposure gate.
TanStack AI core has moved beyond its 1.0 GA: 1.4 adds MCP request metadata, 1.3 distinguishes loop limits from normal completions and earlier updates improve cancellations and runtime reliability.
Neon now manages OAuth discovery, token issuance and refresh for apps and MCP clients, but developers still host login/consent pages and verify access in their own resource servers. Shared signing keys across branches make issuer pinning essential.
The latest DRAM-driven increase forces makers, edge deployments and small teams to re-evaluate whether high-RAM single-board computers still offer the right economics.
The September 17 GA changes the economics of Neon's backend: free allowances remain, but object storage, function execution and model calls are now metered on paid plans. November 2 adds an OAuth Provider plugin, still labelled beta.
Stripe expands Global Payouts and EU stablecoin issuing; its subsequent $1B internal migration provides practical lessons about payout validation, reconciliation and route-specific eligibility.
Omacom expands in-kind AI and compute patronage and reports nearly 1,500 Greptile-reviewed PRs. Pledges are not audited cash revenue.
A six-month real-world comparison shows AI code-review agents and specialised fuzzers find substantially different V8 vulnerabilities. Replacing fuzzing with agents would leave gaps, and cost per bug remains unknown.
The August warning is now an operational requirement for new integrations and tests, not merely an upcoming migration. Older integrations remain on a later, unannounced enforcement timetable.
Financial advertisers in the US and Canada face a new Google Ads verification gate in 2027. Google will announce accepted registries and onboarding details before enforcement; it is not a current blanket ad ban.
The October 8–15 ChatGPT referral dip was a tagging fault, according to an Adobe analyst who says OpenAI confirmed it privately. Mark the reporting gap; the lost attribution will not automatically reappear.
A detailed engineering case study links a 68% AI-review cost reduction to prompt-cache structure and effort tuning, with security-review trade-offs still unresolved.
Vendor-run live-store testing exposes the trade-off between containment, quality and response speed. Store configuration matters, and the evaluator's commercial conflict requires care.
New SaaS cohort data challenges the habit of waiting six months to pitch an upgrade. The strongest seat and plan expansion window is the first month, while year-one renewal creates a second chance; AI-native customers are more likely to reactivate after churn.
Muse packages persistent autonomous execution, credentials, payments, app access and memory into a mainstream consumer product. A September macOS hotfix now provides an early real-world lesson: agent containment has to protect not only the cloud runtime but also the local control path into the agent.
The interesting part of Fastly’s AI launch is consolidation: model gateway economics, LLM security and agent-to-API authorization now sit in the same request path as the CDN/WAF infrastructure many applications already use.
The important change is not simply that Claude can run several agents. Projects now owns decomposition, shared context, branch isolation and progress coordination across full Claude Code sessions, while the trade-offs become usage burn, cloud-only execution and ordinary merge conflicts when parallel work overlaps.
The material issue is not ordinary model distillation. Anthropic’s evidence suggests a customer-facing AI product may have used a rival model as an undisclosed backend while simultaneously harvesting those interactions for training, turning routing architecture into a privacy and trust boundary.
The shift is broader than another Ads dashboard metric. Google is connecting first-party data pipelines, conversion-recovery estimates, open-source marketing-mix modeling and causal geo experiments into one measurement stack — useful, but still heavily dependent on Google’s own modeling and internal benchmark claims.