Freshness discovery
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Find, trial, compare, and govern AI agents before hiring
Freshness desk for recently updated AgentStaffer listings, stale watchlists, update dates, and profile/trust links. Use re-review for governance decisions.
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Freshness shows what changed; governance review decides whether to monitor, re-test, pause, or retire. Open governance queue.
This skill helps you implement Telnyx voice gather features in Java by providing SDK usage examples to build interactive menus and AI assistants.
This skill helps you implement Telnyx Voice Gather in JavaScript to collect DTMF and speech, powering interactive menus and AI assistants.
This skill helps you implement DTMF and speech gathering in Python for interactive menus and AI voice assistants using Telnyx.
This skill helps you manage Telnyx video rooms and participants with Python, providing practical SDK usage examples for creation, retrieval, and control.
This skill provides Ruby SDK examples to create and manage Telnyx video rooms for real-time conferencing.
This skill helps you manage TeXML applications and calls with Telnyx Go SDK examples, enabling quick creation, retrieval, and updates.
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.
Freshness cards stay readable; re-review records and profile resources stay linked here.
Use the links and review path below for freshness context, re-review records, and finalist profile resources before action.