Clarity Over Vagueness | Generated by AI
Question: For startup direction, vague goals are a bad sign — clarity about what you want to build is essential, right?
Answer:
Yes, but with an important nuance.
Vague direction is a problem when:
- You can’t say no to opportunities because nothing is out of scope
- You can’t recruit because candidates don’t know what they’re joining
- You can’t prioritize because everything seems equally valid
- You’re iterating randomly instead of testing a hypothesis
But “clarity” has two kinds:
Bad clarity — you’re certain about a specific solution before talking to users. “I’m building a blockchain-based social network for developers.” Sounds precise, actually just premature.
Good clarity — you’re certain about the problem and who has it. “Developers waste 2 hours/day context-switching between tools. I’m talking to 20 of them this week.” The solution is still fuzzy, but the target is sharp.
For you specifically:
Your risk isn’t vagueness about technology — you’re clearly deep on AI, agents, LLM tooling. Your risk is vagueness about who you’re building for and what pain you’re solving. “AI tools for developers” is still vague. “CLI agents that cut code review time for solo engineers shipping fast” is not.
The honest signal:
If someone asks “what are you building and why” and you need more than 2 sentences — that’s the vagueness showing. Not because you’re dumb, but because the thinking isn’t compressed yet. Compression comes from pressure: shipping, pitching, getting rejected, talking to users.
Vague direction usually means one of three things:
- Too many options, haven’t chosen
- Fear of committing (committing means being wrong)
- Haven’t talked to enough real users yet
The cure is the same for all three: pick something small and ship it to real people this week.