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Scatter plot comparing four OpenAI API modes by safety coverage breadth and content retention exposure. Standard API sits at safety level 2 and retention level 2, Modified Abuse Monitoring at 1 and 1, ZDR at 1 and 0, and ZDR plus Private Safety Processing at 3 and 0, achieving zero data retention with cross-interaction safety.

OpenAI zero data retention expands for frontier models

OpenAI's Zero Data Retention covers frontier models. Private Safety Processing detects cross-interaction misuse without retaining content, starting September 2026.

Lars Cornelissen · Aug 20, 2026

Abstract bar chart representing Grok Bot pricing tiers: $120 for teams, $200 for individuals, $300 for SuperGrok Heavy per month. Grok Bot, an always-on AI agent from SpaceXAI.

AI

Grok Bot logs into your apps like a human, at $120 per seat

Grok Bot is SpaceXAI's always-on agent that signs into your apps and operates their UI directly, no API needed. Beta pricing starts at $120 per seat per month for teams.

Lars Cornelissen · Aug 12, 2026

A donut chart of AI agent identity practices in enterprises: 34% give every agent a scoped identity, 66% share credentials across agents. Source: VentureBeat Research survey of 107 enterprises.

AI

Agent security gap: 54% of enterprises already hit

AI agent security incidents are now widespread. 54% of enterprises have had a confirmed agent incident, yet most still let agents share credentials instead of scoped identities.

Lars Cornelissen · Jul 17, 2026

Funnel chart showing the enterprise AI agent evaluation gap across 157 organizations. 118 are shipping to production, 79 shipped an agent that passed internal evals but failed in production, and only 8 fully trust automated evaluation.

AI

Enterprise AI agent evaluation gap: half ship broken agents

The AI agent evaluation gap shows 50% of enterprises shipped an agent that passed internal evals then failed in production. Only 5% fully trust automated evaluation. The gap is structural misalignment, not missing coverage.

Lars Cornelissen · Jul 17, 2026

Heatmap showing AI compute cost measurement maturity across 107 enterprises. Only 8 percent have mature tracking, 52 percent have partial tracking, and 40 percent have little or none. Source: VentureBeat survey.

Engineering

AI compute cost gap: 92% of enterprises fly blind on spend

The AI compute cost gap is widening: 92 percent of enterprises lack mature cost tracking for AI infrastructure even as 45 percent plan to switch or add providers within a year, risking runaway spend.

Lars Cornelissen · Jul 17, 2026

Abstract slope data art showing RLVR training lifting Atlassian tool-use reward across four workflow scenarios, from baselines of 0.35, 0.52, 0.68, and 0.92 up to 1.00, 0.95, 1.00, and 1.00, with the headline figure 1.00.

Engineering

RLVR trains a 4B model to nail Atlassian API calls

RLVR for tool-use agents trains a 4B model to hit 1.00 reward on Atlassian API tasks, up from a 0.35 baseline on Confluence page creation. Synthetic environments and verifiable rewards close the schema gap.

Lars Cornelissen · Jul 3, 2026

Data

EVA-Bench Data 2.0 makes voice agents measurable

EVA-Bench Data 2.0 is a 213 scenario dataset for testing enterprise voice agents across airline, IT, and healthcare HR workflows.

Lars Cornelissen · Jun 5, 2026