Unlocking the Future of AI: Context Engineering Beyond the Prompt
This week in San Francisco, I moderated a pivotal panel, Beyond the Prompt, where over 600 registrants, including founders and engineers from leading tech companies, gathered to redefine AI product development.
Key Insights:
- Context Over Prompting: Founders often mistake simple prompting for comprehensive AI solutions. Real success lies in context engineering—integrating memory orchestration, governance, and multi-model routing.
- Scaffolding Matters: A staggering 95% of AI deployments fail not because they lack smart models but due to inadequate context frameworks.
- Human-in-the-Loop: Successful AI agents are designed to assist humans, fostering trust and enhancing decision-making with robust feedback loops.
In this evolving landscape, your roadmap should focus on:
- Context budgets
- Memory boundaries
- Output lineage tracing
- Model routing strategy
- Trust and security compliance
Join the conversation! What challenges are you facing with context engineering? Share your thoughts below!
