Data is your only moat

kept by eddie jan 18

The article argues that data collected from user adoption is the only sustainable moat for AI applications, with easy-to-adopt, easy-to-solve use cases being value traps for startups.

Agents can't choose between structure and flexibility
The article argues that employing pure code or pure markdown to specify AI agent behavior is a failure mode, and advocates for a hybrid approach.
also on RunLLM, #ai-agents
Development environments for your agents
Cursor launches cloud agent development environments with multi-repo support, Dockerfile-based config as code, and per-environment governance controls.
also on Decagon, Cursor, #enterprise, #ai-coding
The internet ruined customer service. AI could save it.
AI collapses the cost of high-quality customer attention, enabling every business to offer personalized, concierge-level service and turning support into a revenue driver.
also on Decagon, #enterprise, #startups, #business-strategy
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.
also on Sierra, #enterprise, Anthropic, #business-strategy, #ai-agents
The next Horizon in agents
Sierra launches Horizon, a platform enables AI agents to pursue long‑horizon business goals such as loan origination and prior authorization while learning from each interaction.
also on Sierra, #business-strategy, #ai-agents