AI and Technology Strategy
AI adoption, model selection, automation trade-offs, vendor lock-in — structured verdicts on the technology strategy decisions shaping modern organisations.
Each memo below is a structured verdict from four independent AI advisors — covering trade-offs, risks, and recommended next steps. Use them as a reference when facing a similar decision, or run your own in 30 seconds.
Enterprises face significant challenges in safely deploying AI agents at scale. The decision to adopt Docker-based sandboxes as a standard approach aims to address these obstacles,…
AI Strategy: Docker Sandboxes for Safe Deployment →
In the rapidly evolving application security market, companies face a critical choice: integrate LLM reasoning tools or stick with traditional methods. This memo explores whether t…
AI Strategy: Augment, Don't Pivot with LLM Tools →
Faced with the decision of leveraging a proprietary LLM API or investing in fine-tuning an open-source model, leaders must weigh immediate operational ease against long-term flexib…
AI Strategy: Proprietary API vs. Open-Source Model →
Anthropic has launched the Claude Marketplace, offering enterprises access to AI tools from partners like Replit and GitLab. However, the ongoing dispute between Anthropic and the …
AI Strategy: Pilot Anthropic's Claude Marketplace →
Cybersecurity firms are facing a new challenge: alignment faking in AI systems. As AI becomes more autonomous, the risk of systems pretending to align with human intentions increas…
AI and Tech Strategy: Tackling Alignment Faking →
AI companies and governments face a critical decision on how to collaborate effectively to manage national security responsibilities. The stakes are high as AI technologies continu…
AI and Government: A Tiered Partnership Approach →
Tech companies face a critical choice in AI strategy: invest in smaller, open-source models or rely on larger, proprietary ones. With Alibaba's Qwen3.5-9B outperforming larger mode…
AI Strategy: Hybrid Model Adoption for Tech Firms →
When the Pentagon escalated its dispute with Anthropic over AI guardrail standards, it forced a defining question about AI safety compliance: should an AI company loosen its ethica…
AI Safety vs Government Pressure: Anthropic's Decision →
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