Four-Leaf is a purpose-built AI negotiation coach that identifies common mistakes (accepting the first offer, revealing your current salary too early, forgetting to negotiate non-salary compensation) and gives counter-offer scripts and roleplay practice for $20/month. ChatGPT and Claude do the same core job for free — drafting a counteroffer script and role-playing the actual conversation — if you're willing to prompt them yourself rather than use a guided product. No single tool actually covers all three phases of a real negotiation: knowing your market value, having the right script, and practicing saying it out loud. The honest answer is a small stack, not one tool.
The three things you actually need, and where to get each
Market data — what you're actually worth. Neither Four-Leaf, ChatGPT, nor Claude has live, verified compensation data built in. Get this from a dedicated source (Glassdoor's free "Know Your Worth" estimate, Levels.fyi for tech roles) before you negotiate anything — a script is only as good as the number behind it.
A negotiation script. Four-Leaf is built specifically for this: describe your situation in a conversational interface and it returns a counter-offer script accounting for your specific leverage and the mistakes most people make. ChatGPT does the same job for free if you give it your offer, your market research, and ask directly for a counteroffer script — it's the best free DIY option specifically because it's fast and doesn't require signing up for anything.
Open Four-Leaf → · Open ChatGPT →
Practice saying it out loud. Claude is genuinely useful for roleplaying the actual conversation — ask it to play the hiring manager and push back on your ask, then practice your response. Rehearsing the conversation, not just having the script, is what most people skip and most need.
Quick comparison
| Tool | Role | Starting price | Best fit |
|---|---|---|---|
| Four-Leaf | Guided coaching, script + practice in one | $20/mo | Wanting a structured product, not a DIY prompt |
| ChatGPT | Free script drafting | Freemium | DIY, comfortable prompting for yourself |
| Claude | Free roleplay practice | Freemium | Rehearsing the actual conversation |
Which one should you actually use?
Use Four-Leaf if you'd rather pay $20 for a guided, structured process than assemble your own — it's genuinely built around the specific mistakes people make, and the roleplay and scripting live in one product. Use ChatGPT plus Claude together if you're comfortable doing your own market research and want the same underlying capability for free — draft the script in one, practice the conversation in the other.
FAQ
Is a paid negotiation tool actually worth it over just using ChatGPT for free? It depends on how much structure you want — Four-Leaf's value is having the process (data context, mistakes to avoid, scripting, practice) built into one guided flow, which is worth $20 to some people and unnecessary to others who are comfortable prompting ChatGPT and Claude themselves for the same underlying capability.
Can AI actually tell me what I should be paid? No — none of these tools have live, verified compensation data. Get your actual market number from Glassdoor, Levels.fyi, or industry-specific salary surveys first, then use AI for the script and practice, not the number itself.
What's the single most common negotiation mistake AI coaching tools flag? Accepting the first offer without countering at all — most negotiation coaching content, AI-assisted or not, agrees this is the highest-frequency, most costly mistake, since most initial offers have real room built in.
Should I disclose my current salary during negotiation? Generally no, unless required by law in your location (many U.S. states now ban employers from asking) — revealing it early is one of the specific mistakes Four-Leaf's coaching and most negotiation guidance explicitly warns against, since it can anchor the new offer to your old number.
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*Ratings and pricing reviewed monthly. Last updated August 2026.*
Bogdex · Founder & editor, woska
Bogdex builds and curates woska, testing AI tools against real workflows to judge which ones actually save time rather than which have the longest feature list.