Rethinking LLM Agents as Adaptive Computation Graphs
View LLM agents as runtime-adaptive computation graphs to optimize accuracy, cost, latency, debugging, and control.
View LLM agents as runtime-adaptive computation graphs to optimize accuracy, cost, latency, debugging, and control.
Microsoft introduces Copilot Cowork as a research preview, focusing on long-running, multi-step work and human-in-the-loop execution.
How to reduce anthropomorphism, overconfidence, and hallucinations by structuring work as claim-evidence-verification checklists.
For long policy reports, context and upload limits push chunked workflows that separate evidence retrieval from drafting, improving traceability and quality.
Prism, a free LaTeX-native workspace, embeds GPT-5.2 to unify writing, collaboration, and reasoning with a verification-focused workflow.
Explore strategies for combining various LLMs to minimize context loss and enhance accuracy through structured task-specific workflows.
A short hands-on review after using clawdbot (moltbot) in a real dev environment. Why I went back to “native” CLI workflows.
Anthropic has launched 'Agent Skills'. Now you can equip Claude with specific job capabilities like Excel Analyst or PPT Designer in the form of folders.