engblogs

A technical case study of Cars24 using OpenAI-powered voice and chat agents and Codex to scale high-volume conversations, recover leads, and automate enterprise workflows across buying, selling, financing, and post-purchase operations.

Codex evolves from a code assistant to a creative collaborator at OpenAI, enabling rapid prototyping, custom workflows, and brand-aware idea generation for campaigns.

Design considerations for safe, age-appropriate AI access for teens, including guardrails, parental controls, and learning-focused tools that support education while protecting wellbeing.

Cars24 scales customer conversations and internal AI-powered workflows with OpenAI agents, Codex, and ChatGPT Enterprise to recover leads, shorten turnaround times, and empower non-engineers to automate day-to-day operations.

Codex becomes a collaborator for OpenAI's creative team, turning brand context, style guides, and project assets into rapid, prototype-ready workflows and campaign directions.

Balancing broad teen access to AI with age-appropriate safeguards, this post analyzes guardrails, learning-driven features, and cross-sector collaboration to enable safe, responsible AI use in education.

Cars24 scales conversations and accelerates internal workflows with OpenAI-powered AI agents, deploying Codex across engineering, finance, and operations to automate processes, recover leads, and deliver consistent, high-quality experiences at scale.

Codex becomes a collaborator for OpenAI's creative team, enabling context-aware workflows, rapid prototyping, and AI-assisted design with brand assets and API-driven tools.

A technical overview of enabling teens to safely access AI through age-appropriate protections, guardrails, and tools like Study Mode and Parental Controls to support learning while safeguarding well-being.

Senior SWE-Bench is an open-source, Harbor-compatible benchmark that evaluates coding agents on senior-level tasks drawn from real pull requests across production repositories, using adaptive verification via a validation agent, pre-written verifiers, and a taste judge to assess behavior and code quality.

Senior SWE-Bench is an open-source, Harbor-compatible benchmark that evaluates coding agents on long-horizon, senior-level software engineering tasks drawn from real GitHub pull requests across production repositories, using adaptive verification with a validation agent, pre-written verifiers, and a taste judge to assess behavior, reliability, and code quality.

A vision-language model-based approach converts 2D designs into accurate, executable CAD programs for rapid prototyping, using model-aware data augmentation via GIFT and inference-time scaling to boost performance while reducing compute.