Blog
Research, methodology, and perspective on AI training from AIPTD's program design team.
The Shape of Intelligence
Independently built AI models are converging on the same way of organizing what they know. Machine learning reproduces the structure behind its data, so that structure was there first: the world, and the reasoning people recorded about it. Understanding it better means better small models and a deliberate choice of the variations we want.
Read the blog →AIPTD Perspective · October 2026AI Is a Team Sport
Organizations get more from AI when their people learn it together. Why relying on a few self-taught enthusiasts can become a bottleneck, and what changes.
Read the blog →AIPTD Perspective · October 2026Where Is the ROI?
Where is the return on your AI investment? Why isolated AI learning can disappoint, and what a team approach changes.
Read the blog →Team Training Guide · October 2026AI Training for Government and Nonprofit Employees
How public agencies and nonprofits can train staff on AI: start with the approved tool, agree on data rules first, and stretch a limited training budget.
Read the blog →Team Training Guide · October 2026How to Plan AI Training for Your Employees
Planning AI training for a team? Start from real tasks, confirm what access people have, use one platform per session, and build checking into every exercise.
Read the blog →Team Training Guide · October 2026ChatGPT, Claude, Gemini, or Copilot: Which Should Your Team Learn First?
There is no single best AI assistant for every team. The right first choice usually follows the software your organization runs. Here is how we help decide.
Read the blog →Team Training Guide · October 2026How to Train Employees on Microsoft Copilot
A practical guide to Copilot training for employees: confirm which Copilot people have, teach grounding with prompting, and start where the work already is.
Read the blog →Team Training Guide · October 2026ChatGPT Training for Employees: Teaching Where Each Kind of Work Belongs
Good ChatGPT training teaches employees when to use a new chat, a Project, deep research, or a custom GPT, and how to check the result before relying on it.
Read the blog →Team Training Guide · October 2026Getting a Team Started with Claude
How to introduce Claude to a team: start with documents, give each workstream a Project, connect live data where allowed, and train developers separately.
Read the blog →Team Training Guide · October 2026Gemini in Google Workspace or the Gemini App: Training Your Team on the Access It Has
Some teams have Gemini inside Gmail, Docs, and Sheets; others only the Gemini app. Here is how to train either group on workflows that hold up under both.
Read the blog →AIPTD Perspective · September 2026A Modern Prometheus
Executives have compared AI to fire since 2018, and the comparison is richer than hype. Both are too useful to ignore, too dangerous to use without care, and most beneficial when proliferated. Safety comes from education, study, and innovation.
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