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Diagram titled 'The meter is the business.' A single amber line charts Harvey's reported gross margin across 2026: about +50% early in the year, about -50% by June as agent usage spiked on rented frontier models, and back positive after August when Harvey Tenet, its in-house open-weight model, shipped. Beside the chart, a tile reads 'about 1T to 12-13T tokens per month, Jan to May 2026.' Three cards below cover concentration risk (enterprise about 80% of Anthropic revenue; top 1% of customers about 80% of enterprise revenue), open weights as COGS strategy (Harvey, Abridge, Decagon, Ramp, Thomson Reuters), and the hybrid stack (frontier models kept for the hardest tasks). Footer reads 'Rented intelligence has unit economics' and objectedge.com.

Harvey's Margin Swing Is a Tokenomics Story, Not Only a Legal-AI Story

Harvey's gross margin went from about +50% to about -50% and back positive in 2026 as agent usage spiked on rented frontier models, then moved onto its own open-weight model. What that swing says about metered knowledge work, revenue concentration at Anthropic and OpenAI, and open weights as a cost-of-goods strategy.
Diagram titled 'Seats without a brain are just silos.' On the left, a grid of nine small boxes labeled Copilot, ChatGPT, and Claude, each with its own private context, captioned '1,000 seats, 1,000 silos.' On the right, the same seats sit above a shared layer labeled 'Company brain: Hive' with permissions and provenance intact, Sayya as the harness for governed action, and Mentat as the company brain for revenue. Footer reads 'Amplification is the point, not replacement' and objectedge.com.

AI-Native Services Are a Real Market. Enterprise Still Needs a Company Brain.

Greg Isenberg's $100B AI-native services thesis is right about the market. The operator question is whether the enterprise keeps a durable record under its agents. Without one, a thousand AI seats become a thousand silos.
Object Edge field report titled 'I Let an AI Agent Run My Workday for 30 Days' on a black background. An orange EKG-style heartbeat line runs across the page with six peaks labeled Gmail, Calendar, Google Chat, Git Commits, HubSpot, and Drive, annotated '31 scheduled · 15 playbooks · zero prompts.' A large figure reads '457 autonomous runs,' captured over 30 days from May 19 to Jun 18, 2026 across 5 domains, 144 data syncs, and 256 governance runs. A 'Five Domains' list names Executive Briefing, Initiative Governance, Pipeline Intelligence, Task Hygiene, and Systems Maintenance. Footer reads 'Sayya · Built on Hive' and objectedge.com.

I Let an AI Agent Run My Workday for 30 Days. Here's What Actually Happened.

An instrumented, 30-day account of where an autonomous AI copilot actually creates leverage for a CEO — 457 runs across five domains, with the honest numbers.