Fountain, the AI-native platform for managing the global frontline workforce, today announced Cue, the first autonomous frontline intelligence designed to run frontline workforce operations. Cue runs the work inside hiring and scheduling workflows, such as sourcing, screening, and scheduling candidates, all without manual intervention. This reduces operational bottlenecks and time-to-hire, while delivering consistent staffing across locations.
Unlike traditional SaaS tools that rely on human configuration and oversight, Cue operates directly within enterprise workflows. With Cue, Fountain becomes the first scaled SaaS provider to transition its core architecture into a production-grade agentic system – Frontline Superintelligence. Rather than layering on an AI assistant, Fountain has embedded multi-agent orchestration directly into its platform. The result is a fundamental shift from software that reports on frontline work to an intelligence that runs it.
Cue can autonomously execute frontline workforce management within an infrastructure that includes human oversight controls and configurable governance policies.
Terminal, the leading global hiring platform for software developers, today announced the launch of the first AI Fluency standard for hiring engineering talent. As software engineering shifts from traditional code authoring to agentic orchestration, Terminal’s new AI Fluency standard helps organizations identify engineers with the architectural context and integrated AI workflows required for the AI-native era.
Starting today, Terminal customers can view AI Fluency signals on candidate profiles to evaluate AI workflow and agentic skills. Pulling from nearly a decade of experience hiring thousands of engineers, and inspired by AI leaders like Anthropic, Terminal has developed a new rubric for identifying and hiring the top AI fluent talent. AI Fluency for software engineers is the mastery of AI code generation, agentic orchestration, and architectural governance. It is a software engineer’s ability to move beyond code to direct parallel agents, navigate unfamiliar languages, and maintain deep system ownership and product sense.
Through a structured candidate onboarding and live interview screening process, Terminal classifies engineers into three AI fluency levels:
- AI Assisted: Developers who still manually write their code and use AI for debugging, research, or suggestions.
- AI Enabled: Engineers who regularly use coding assistants like Claude or Cursor to move faster and improve output.
- AI Native: Builders who lead with agentic delivery for the entire lifecycle, from planning and prototyping to coding and pull request reviews.
Candidate profiles now highlight shipped AI products, showcasing actual AI products that engineers have built and shipped. Customers can quickly find vetted candidates who have deployed relevant products such as specialized chatbots, complex RAG systems, proprietary AI models, and more.
