Cutting Through the AI Chaos: What Actually Matters with Ben Knaus | Ingaged Podcast

AI deserves the hype — it's the most helpful technology category Ben has seen — but never buy something because it's AI; buy it because the underlying technology solves a real business pain.

AI shines on high-volume tasks that aren't mindless but don't require deep expertise (copywriting, scheduling, transcribing and summarizing a two-hour call) — match the use case to that profile.

Distinguish point-solution AI (features that layer into an existing platform) from a full new platform; for a platform, evaluate whether it helps every user group, not just managers.

Understand AI's limits honestly — it can surface the answer but can't yet judge things like tonality, so ask the vendor truthfully what you'll still need to do to extract full value.

Reference-check AI tools like any software: talk to companies that look like yours, and ask the uncomfortable questions about what they expected to do but couldn't actually accomplish.

The underlying LLM rarely matters to the end user — most tools run on the same providers (OpenAI, Anthropic, and others), they leapfrog each other constantly, and a good vendor swaps in the best one for you.

Two trends to watch: the industry is now past the early-adopter stage on tech (if you're not on the boat, you're in the dust), and getting good at prompting will let people disproportionately benefit from AI.