Long-running AI agents fail in predictable ways: amnesia, premature “done,” and context rot. Learn harness patterns, durable artifacts, testing loops, and memory choices that keep multi-session agent work honest.
A practical 2026 AI voice cloning tutorial: choose TTS vs speech-to-speech, record clean samples, understand how much audio you need, and handle consent/disclosure (including TCPA/FCC risks for calls).
AI detection tools promise “accuracy,” but real-world writing is messy—especially hybrid human+AI drafts. Here’s what detectors get right, where they fail (false positives/negatives), and how to use scores without wrecking trust.
A practical guide to using ChatGPT for business without the hype: repeatable workflows, prompt+context+rubric templates, privacy guardrails, and where it actually saves time (drafting, synthesis, planning).
A practical 2026 AI image generator comparison: Midjourney, ChatGPT (GPT-4o), DALL·E 3, Adobe Firefly, FLUX, and Ideogram—quality, text rendering, editability, speed, cost, and licensing clarity.
A practical 2026 guide to free AI tools for students—chatbots, quiz makers, and flashcard generators—plus what “free” really means (limits, exports, privacy) and how to build a simple workflow without hype.
A practical 2026 playbook for prompt engineering: define success criteria, use a repeatable prompt skeleton, separate instructions from data, run evals, and harden against prompt injection—warts and all.
