Voice agents, AI tests, and old games

Voice support agents, configured by prompt

A new Voice Agents offering says you can set up enterprise-class phone support with one text prompt. That moves voice automation closer to a product configuration task than a full contact-center build.

• It includes a toll-free phone number.
• It says agents can connect to your systems.
• You can use custom human-like voices.
• The pitch is text-based setup for enterprise calls.

What it means If phone support is a bottleneck, test one narrow call flow first: appointment requests, lead qualification, order status, or after-hours intake. Define the systems the agent can access, the actions it may take, and the cases it must hand to a person. The opportunity is not replacing every support rep on day one. It is reducing the repetitive calls that keep your team from higher-value work.

Source: bindureddy

An agent loop puts o3-mini to work on exams

An agentic loop built with o3-mini generated exam questions that, according to a large field study, had psychometric properties on par with questions used in high-stakes standardized tests. The model may be old, but the workflow is the interesting bit.

• The post describes it as one of the largest field studies of AI-generated questions.
• The workflow used o3-mini in an agentic loop.
• The reported result was parity on psychometric properties with high-stakes standardized-test questions.

What it means If you sell training, run a course, or operate an internal enablement program, treat question generation as a system rather than a single prompt. Have an agent draft questions, check coverage against learning goals, flag duplicates or ambiguous wording, and route the final set to a subject-matter reviewer. Start with low-risk practice quizzes, then measure item quality before using AI-created questions for decisions that matter.

Source: emollick

Codex gives a 1987 game a new life

After Infocom games became open source, Codex was used to update the 1987 word game “Nord and Bert Couldn't Make Head or Tail of It” for modern play. The original puzzles remained, while the user experience changed.

• The update kept O'Neill's puzzles.
• A new UX made the game easier to win.
• The author says the AI performed better at translating some puzzles.

What it means There is a useful pattern here for anyone sitting on old code, internal tools, or abandoned product ideas. Keep the valuable business logic, rules, and content. Then use an AI coding workflow to map the codebase, modernize the interface, and tackle contained translation or migration tasks. Choose a small legacy project with clear tests or a human reviewer, rather than asking an agent to rebuild a large system blind.

Source: emollick

The 10 AI trends of 2027 are already here (simply explained)

A plain-language look at 10 AI trends framed as already visible today.