CallMissed Blog
Insights on AI communication, voice agents, WhatsApp automation, and the future of customer engagement.
54 min readWhy Autonomous AI Agents Fail in Real-World Deployments: 7 Critical Failure Modes
Why Autonomous AI Agents Fail in Real-World Deployments: 7 Critical Failure Modes Nine in ten autonomous AI agents deployed in production environments are vulnerable to a class of failure that no amount of prompt engineering can prevent. This isn't a future risk — it's the defining engineering chall…
10 min readConstitutional AI vs RLHF: How AI Alignment Evolved in 2026
How do you train an AI system to be helpful without being harmful? The dominant approach since 2022 has been Reinforcement Learning from Human Feedback (RLHF), where human annotators rate model outputs and the model learns to optimize for human preference. But RLHF has limits: it is expensive, incon…
4 min readLLM Jailbreak Prevention: A Practical Guide for 2026
LLMs can be tricked into producing harmful, biased, or policy-violating output through carefully crafted prompts called jailbreaks. In 2026, as models power customer-facing applications, preventing jailbreaks is a security requirement. Common Jailbreak Techniques - Roleplay framing: "You are a helpf…
Claude Mythos: Anthropic's Security-Focused Frontier
On April 7, 2026, Anthropic unveiled Claude Mythos Preview — a model the company described as "by far the most powerful AI model we've ever developed" — and immediately did something most labs don't: refused to release it publicly. Mythos is the most concrete public artifact yet of frontier AI being…
AI Safety and Alignment: The State of the Field 2026
AI safety and alignment as a research field have come a long way since the early speculative essays of the 2010s. In 2026, the work is concrete: published interpretability circuits, deployed scalable-oversight protocols, and a noticeably broadening community. This is a status report — what's mature,…