AI Tech News Today — Quick Roundup

Hosts: Aurora (with co-host Isabelle)
Edition date: 2026-06-12T21:44:51.000Z

We have a short roundup of the biggest stories in A‑I you should know about right now.

1) Microsoft tests A‑I evaluators for trusted A‑I agent governance

What’s happening: Microsoft says its Copilot Studio is now testing the systems that judge A‑I agents.
How they test: generated datasets, planted defects, and grader metrics to stress‑test not just the agents but the evaluators themselves.
Why that matters: As A‑I agents move from demos into real production workflows, companies need reliable ways to trust both the agent and the system that evaluates its behavior.

2) How Softr A‑I builds production‑ready apps for business teams

Who: Softr cofounder Shiran Brodie
Key point: An A‑I interface is only the start. A model can sketch a pretty app in seconds, but businesses need:

• Databases
• Permissions
• Workflows
• Pretested building blocks
  Softr focuses on enabling non‑developers to ship tools that actually handle real data and real processes, not just look impressive.

3) How to build an A‑I model risk matrix for your team

Source: AiNews tutorial
Step‑by‑step:

1. List the tasks your team uses A‑I for.
2. Classify each task from low to restricted risk.
3. Note what data each task touches.
4. Decide the level of human review required.
5. Check vendor data policies.

Practical goal: Make a short internal policy that people will follow, and review it regularly as tools and risks change.

4) Postgres stays fast as A‑I data grows with TimescaleDB

Problem: A‑I features change your data profile overnight — every prompt, response, and interaction becomes a new event.
Solution: TimescaleDB extends Postgres with:

• automatic partitioning
• heavy compression
• continuous aggregates

Benefits: Dashboards stay snappy as volumes grow, no full migration, same SQL — and an introductory $1,000 credit for new users.

Thanks for tuning in. Keep listening, stay skeptical, and stay curious about the ways A‑I is moving from lab demos into real work.

— Aurora and Isabelle, AI Tech News Today