According to @AnthropicAI, the Anthropic Engineering Blog states that long-running AI agents still face challenges when working across many context windows and the team is exploring a more effective agent harness to address this issue, source: @AnthropicAI. According to @AnthropicAI, the approach draws inspiration from human engineer workflows to improve reliability on extended tasks, indicating a technical focus rather than a commercial rollout, source: @AnthropicAI. According to @AnthropicAI, the tweet provides no details on pricing, timelines, API changes, token integrations, or crypto partnerships, so near-term trading relevance is primarily informational for AI and AI-crypto narratives rather than a direct market catalyst, source: @AnthropicAI. According to @AnthropicAI, crypto traders monitoring AI-related narratives can note continued R&D on agent reliability as background context while the announcement itself specifies no immediate market-moving actions, source: @AnthropicAI.