Gavel Gavel
Experts Guides Skills
Guides
AI advisor

Why ChatGPT gives generic startup advice

ChatGPT gives generic startup advice for four reasons built into the model. Your prompt is not the problem. It trains on the averaged internet, so the answer is the median of everything. It skips real sources, so a citation is often rebuilt and sometimes invented. Its training rewards agreeing with you. It forgets your context between sessions. A cited answer that knows your context looks different. It names the operator and links the source. It fits your stage.

Why this matters. Founders describe it the same way everywhere. A content smoothie. Generic answers. The same tips every time. The cause is not laziness on your end. The model works this way by design.

Ask Gavel, free

No signup for your first answer. See a real cited response before you decide.

Why generic advice fails here

The four structural reasons the advice comes out generic

It's trained on the averaged internet

A large language model compresses a million blog posts and forum replies into rewritten summaries. When you ask it a question, it returns the statistical center of everything. The median of everything ever written about pricing is generic by construction. That is the content smoothie founders describe.

It has no retrievable citation

The model generates plausible text token by token. It never looks anything up. So when you ask for the source, it reconstructs one that sounds right. It sometimes invents the quote or the benchmark outright. There is no verifiable link behind the sentence.

It's tuned to agree with you

Reinforcement from human feedback rewards answers people liked, which skews the model toward agreement. It mirrors your premise instead of challenging it, and it equivocates rather than taking a stance. For a real decision, the agreeable answer is the one that costs you.

It forgets your context

The model keeps no persistent memory. Not your stage. Not your model. Not your ICP. Not your last conversation. So it cannot tailor advice to you. It can only generalize. Advice that ignores whether you are a pre-revenue solo founder or a Series A team stays generic, no matter how well written.

The cited playbook

What a cited, context-aware answer looks like instead

Take the same startup questions and ground each one in a named operator. The contrast is the point: the generic line first, the cited move second.

  1. 1

    Pricing: not 'value-based pricing,' but the 20/80 rule

    Generic says "consider value-based pricing." The cited answer is Ramanujam's axiom: about 20% of your features drive 80% of willingness to pay. Most founders give that 20% away in the entry tier. The move is to reprice around it, with a link to where he says it.

    Madhavan Ramanujam · Monetizing Innovation, on Lenny's Podcast
  2. 2

    Positioning: not 'find your USP,' but the real alternative

    Generic says "identify your unique selling proposition." Dunford's cited move starts from what the customer would use if you did not exist. It then names the one attribute that makes you the better choice for a segment. Differentiated value is the answer to why pick us over the alternatives.

    April Dunford · Dunford on competitive alternatives
  3. 3

    Distribution: not 'post often,' but one of four channels

    Generic says "post often and build an audience." Hormozi's cited answer is the Core Four. Warm outreach and cold outreach. Content and paid ads. Work one of them four hours a day for a quarter before you add another. Not all four at once.

    Alex Hormozi · Hormozi's Core Four
  4. 4

    First customers: not 'build an audience,' but recruit by hand

    Generic says "grow your following." Paul Graham's cited move is that startups do not take off by themselves. You recruit your first users one by one, by hand. You do the unscalable work that delights them, the way Airbnb's founders did. The manual work is what teaches you what to build.

    Paul Graham · Do Things That Don't Scale (YC)

Where experts disagree

Where operators disagree: how to position against incumbents

April Dunford

positions you against the customer's real alternative and sharpens the one differentiated attribute that wins a specific segment.

Hamilton Helmer

counter-positions you on a business model the incumbent could copy but will not, because copying it would damage the profitable business they already have.

Two credible, different routes to the same goal. This is the split a generic model flattens: it either picks one and sounds certain, or gives both sides equal treatment while saying nothing. A grounded answer names both and the condition that favors each.

A real example

“How should I price my SaaS?”

The same question, asked of each.

Generic AI

It depends on your market and costs. Consider value-based pricing. Research your competitors. Test a few tiers. A common approach is good-better-best with the middle tier anchored as the popular choice.

Confident, reasonable, unattributed, true for any business.

Gavel

Start from your value metric. Protect the 20% of features that drive 80% of willingness to pay, per Ramanujam. Do not give them away in the entry tier. Then set the ceiling, with a link to the exact moment he explains it. Applied to your stage and ICP.

Madhavan Ramanujam · see the source

What founders say

What people say about generic AI answers

“A content smoothie.”
Hacker News
“Typical compulsive equivocation from an LLM. Never assert strong opinions. Find something to say while actually saying nothing. Always give 'both sides' equal treatment.”
Hacker News

Verbatim user quotes from public forums, sourced, not paraphrased.

FAQ

Why generic AI advice happens, answered

Why does ChatGPT give such generic advice?

ChatGPT returns the statistical average of its training data. It cannot retrieve a real source. Its training tunes it to agree with you. It forgets your context between sessions. Each of those is structural, so better prompting only softens it. The fix is grounding the answer in named sources and your own situation.

Can I prompt ChatGPT to be less generic?

A good prompt helps at the margin. Ask for specifics and a named framework. Ask for a stance too. But the model still cannot cite a source it did not retrieve, and it still drifts back to agreement and the average. Prompting cannot add retrieval or memory the system does not have.

Why does ChatGPT make up citations?

It generates text that looks like a citation, rather than looking one up. So it produces a plausible author, title or statistic that may not exist. Founders report quotes the model fabricated or even reversed. If you cannot click through to the source, treat the citation as unverified.

What does a non-generic answer look like?

It names the operator who solved the problem. It links the exact source. It shows where credible experts disagree. It applies the framework to your stage and ICP. This page shows that contrast. Delivering it is what Gavel does.

See the difference on your own decision. Get a cited answer.

Try Gavel free

Related guides

AI advisors

AI business advisor

An AI business advisor should cite named operators, show where they disagree and remember you...

AI advisor

AI co-founder

An AI co-founder should bring cited operator frameworks to your hardest calls. It should reme...

AI advisor

ChatGPT for startups

ChatGPT is useful at a startup for drafts, code and research. It's weak on pricing, positioni...

Keep exploring

Experts & frameworks

Every operator Gavel cites, with timestamped sources.

Is ChatGPT good for…

The decision-by-decision take on where generic AI falls short.

Playbooks

Multi-expert guides for pricing, PMF, first customers.