Selector's NFD40 Pitch: Transparent AI Observability with Full Audit Trails
Most “AI-powered observability” pitches you sit through ask you to trust the model. The dashboard says the cloud gateway is the problem, the chat box says open a ticket with your circuit provider, …
Read the full articleYou might also wanna read
Panoptes: A New Audit and Control Layer for AI Agents
Panoptes provides observability and policy compliance for AI agents by recording their actions into a single SQLite database. Standardizing
MCP AI Safety: Guardrails, Content Filtering, Sandboxing, and Responsible AI Patterns
A comprehensive guide to implementing AI safety with MCP — covering guardrail frameworks (Guardrails AI, NeMo Guardrails, OpenGuardrails), c

Designing Transparency for Agentic AI Systems: Finding the Right Moments for Clarity
Designing for agentic AI requires attention to both the system’s behavior and the transparency of its actions. Between the black box and the
PromptLayer: AI observability tool for tracing multi-step workflows, costs, and failures
PromptLayer is AI observability for developers. Trace requests, workflows, token usage, latency, costs, and failures through a single timeli
Foil: AI Observability Tool That Monitors AI Agents with Context-Aware Profiles
All observability tools simply log traces with no context. Foil reimagines how you deploy and maintain agents by learning your agents behavi

Practical Guide to Explainable AI for UX Designers: Building Trust Through Transparency
Explainable AI isn’t just a challenge for data scientists. It’s also a design challenge and a core pillar of trustworthy, effective AI produ

Comments
Sign in to join the conversation.
No comments yet. Be the first.