AILooma / Desk
AI reporting, tools, and practical applications.
15 stories
A practical guide to choosing bounded AI-agent tasks, setting permissions and approvals, reviewing outputs, and measuring whether a workflow helps.
A governance-first guide to mapping team handoffs, setting permissions and approval boundaries, and piloting AI-agent workflows responsibly.
Understand data paths, retrieval limits, model requirements, and verification steps before building a local Ollama and Open WebUI knowledge prototype.
Compare language-model candidates using task-specific evaluation, hardware, data boundaries, failure review, and deployment constraints.
Twelve official, hands-on AI development resources for Python, machine learning, language models, computer vision, evaluation, and deployment.
Practical ways non-technical professionals can use AI for everyday work while protecting data, checking facts, and retaining human control.
A beginner-friendly, project-based AI tutorial covering prompts, test data, fact-checking, iteration, coding choices, and safe automation.
Seven situations where human judgment remains essential, with practical guardrails for using AI as an assistant rather than an authority.
A risk-tier framework helps teams evaluate AI answers with criteria for source support, uncertainty, privacy, review, and escalation.
A practical privacy guide for using AI at work with data classification, approved tools, redaction, access controls, and human review.