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The Honest Case For Waiting To See What Sticks

By Nigel Guy · 3 min read

Every new tool arrives with an implied deadline: adopt now or fall behind. So you sign up, spend an evening learning it, rebuild a workflow around it — and a few months later it's been renamed, repriced, absorbed into something else, or simply abandoned. The adoption felt proactive. What it actually bought you was a migration you didn't need to do.

The rule: for most new AI tools, waiting a short, defined period before committing costs you very little and saves you from a lot of churn — provided the waiting is deliberate, not avoidance.

Why waiting is usually cheap

The fear of falling behind assumes the early advantage compounds. For most individual users it doesn't. Early versions tend to have rough edges, the documentation lags, the pricing hasn't settled, and the best ways to use the tool haven't been worked out yet. Arriving later often means arriving to a better product, clearer guidance, and a more honest picture of what it's actually good for.

The Wait-And-See Card

Before adopting anything new, fill in these four lines. Keep the card somewhere you'll see it again.

  1. What problem would this solve for me, specifically? One sentence. If you can't write it, you don't need the tool yet — you need a problem first.
  2. What's my current workaround, and what does it cost me? If the workaround is fine, waiting costs almost nothing.
  3. What would convince me it's sticking? Pick concrete signs in advance: stable pricing for a few months, integration with a tool you already use, colleagues whose judgement you trust using it for real work, a clear owner or company behind it.
  4. When will I check again? A date, not "soon." Six weeks to a quarter suits most things — see "The Habit Of Checking Back In Six Months Before Declaring Anything A Winner" for the longer-horizon version.

When the check-in date arrives, look at line 3. If the signs are there, try it properly. If not, either set one more date or drop it.

When not to wait

Waiting is the wrong call when:

What to skip

Skip rebuilding a working workflow around anything in its first few weeks of existence. Skip paying for annual plans on tools that haven't been around long enough to show they'll last a year. And skip the guilt: not having tried the newest thing isn't a skills gap.

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