Reading up on Harvey
6 deep · digging since jan 02
- The Untrainable - Sarah Guo
As AI models commoditize measurable tasks, lasting value lies in 'untrainable' work requiring private data, trust, organizational change, and domain-specific authority.
- GitHub - anthropics/claude-for-legal: A suite of plugins for legal workflows
Anthropic open-sources a suite of Claude plugins covering 60+ legal workflows, deployable as desktop agents, CLI skills, or managed API agents.
- New in Claude Managed Agents: dreaming, outcomes, and multiagent orchestration
Claude Managed Agents adds dreaming for self-improvement through memory review, outcomes for quality grading, and multiagent orchestration for parallel task delegation.
- AI's Bundling Moment
As AI model release cadence accelerates to every 42 days, companies like Harvey, Glean, and ElevenLabs are expanding from single workflow tools into broad platforms, reversing the SaaS-era unbundling strategy.
- Services: The New Software
Sequoia argues the next $1T company will sell work as an AI-native service, not a tool, capturing the larger services budget by automating intelligence-heavy tasks.
- Tracks vs. Trains: Why the Real Artificial Intelligence Boom Hasn’t Started Yet – Insights for 2026 – shawnHarris()
The AI infrastructure bubble is peaking in 2026, and value will shift to application-layer companies that leverage cheap, abundant compute to transform industries.