AI governance

1. May 5, 2026 · LLM Workbench

   Replay rights: a moonshot for universal, contestable AI decisions

   What if every person had a universal right to replay the AI decision that affected them—loan, hire, claim, refund? Here is the moonshot: tamper-evident run bundles as the substrate for adjudicable cognition.

   • moonshot
   • AI governance
   • algorithmic accountability
   • right to explanation

2. May 5, 2026 · LLM Workbench

   Agent contracts: the missing layer between AI agents and the humans accountable for them

   A recovering lawyer's case for a machine-readable contractual layer between AI agents and their human controllers—scope, consent, revocation, restitution—encoded as gates and run bundles.

   • AI governance
   • agent contracts
   • principal-agent
   • human-in-the-loop

3. May 5, 2026 · LLM Workbench

   The hyperscaler token-pricing playbook: cheap LLM tokens today, painful bills tomorrow

   Hyperscalers are racing to subsidize LLM tokens, lock workloads in, and raise prices later. Here is how the playbook works—and how a model-agnostic control plane keeps you portable.

   • token economics
   • hyperscaler lock-in
   • LLM pricing
   • cost optimization

4. May 4, 2026 · LLM Workbench

   Agent economics in the enterprise: observable routing, visible work, and governance that survives audits

   A unified operating view for AI leaders—token-aware routing, context discipline, and tamper-evident run bundles as the control plane for trustworthy scale.

   • AI governance
   • thought leadership
   • run bundles
   • agent operations

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