The AI Productivity Podcast Why AI Fails for Most Businesses (Claude Cowork Explained)
Feb 18, 2026
Discussion of Claude and Anthropic as competitors in the LLM space. Exploration of persistent context, memory limits, and file‑based workflows. A GUI layer that makes Cloud Code and Co work more accessible. Use cases like automated OCR and organizing scanned documents. Conversations on AI for multilingual and niche data, developer workflows, and practical adoption limits.
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AI Only Works When Foundations Are Solid
- AI success depends on foundations not just model choice.
- Tom and Paco stress ICO: Input, Control, Output, Refine as the structure that must exist before AI adds value.
Claude Added File Backed Context With Cloud Code
- Claude (Anthropic) began as a ChatGPT competitor but differentiated with developer tools like Cloud Code.
- Cloud Code introduced file-backed context so LLMs can access persistent, structured data rather than ephemeral session memory.
Store Context As Files And Skills For Persistent Memory
- Do store important personal and SOP information as files or skills so the LLM can use persistent context.
- Paco recommends creating Who Am I files and skills (SOPs) to give the assistant actionable, retrievable knowledge.