Reading up on Opus

The author argues that after Fable's high-cost release, developers must allocate work between expensive models and cheaper alternatives like GLM, ending the era of free performance gains.

Cursor Router uses real developer traffic data to automatically select the optimal AI model for each task, balancing cost and performance through Compass complexity prediction and a learned taxonomy.

The page displays a gallery of recent Open Graph image examples from products such as Notion, Sketch, Popcorn, Opus, Clay, Equals, Fin, Attio, Warp, and Framer.

Anthropic updated Claude’s voice mode to use Sonnet/Opus models, add Gmail/Slack context, and improve language support, while noting its turn‑based design limits naturalness.

The author learned to let Claude Code's Fable model use its own judgement to delegate coding tasks to lower-power models, improving efficiency and token usage.

The author details his personal AI development setup and workflow using OpenCode agent, CodeNomad GUI, Opus 4.6 model, and a structured orchestrator-subtask methodology.

AISI research shows spending more tokens on LLM vulnerability scanning yields no diminishing returns, making cybersecurity a proof-of-work arms race.

The future of AI is powerful general models becoming cheaper, not narrow custom models, because specialized tasks still benefit from broad intelligence.