Multi-agentPersonal Development & CareerAdvancedFree

Negotiation Mastery System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready negotiation mastery system deliverable.

WORKFLOW META
Agents3
Total tokens (avg)~500
Run time9 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryPersonal Development & Career
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
Negotiation Intelligence Gatherer
· 02 ·
Negotiation Strategy Architect
· 03 ·
Negotiation Script Writer
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{negotiation_context}}
Negotiation context
Negotiation context
Negotiation Mastery System example context
{{your_position}}
Your position
Your position
Negotiation Mastery System example context
{{counterparty}}
Counterparty
Counterparty
Negotiation Mastery System example context
{{stakes}}
Stakes
Stakes
Negotiation Mastery System example context
THE AGENTS

The 3-step sequence.

01
AGENT · NEGOTIATION INTELLIGENCE

Negotiation Intelligence Gatherer

GOAL OF THIS STEP

Map the negotiation landscape. Define: your BATNA (Best Alternative To a Negotiated Agreement — what you'll do if this negotiation fails), their likely BATNA (what they'll do if you don't agree), the ZOPA (Zone of Possible Agreement — the range where a deal exists), your reservation price (the worst deal you'd accept), and the value creation opportunities (what non-monetary terms could make a lower price acceptable, or what could you offer that costs you little but matters to them?).

EXPECTED OUTPUT

Your BATNA + their estimated BATNA + ZOPA range + reservation price + 3 value creation opportunities

agent-01-negotiation-intelligence-gathe.md
### Input
Context, position, counterparty, stakes

### Task
Map the negotiation landscape. Define: your BATNA (Best Alternative To a Negotiated Agreement — what you'll do if this negotiation fails), their likely BATNA (what they'll do if you don't agree), the ZOPA (Zone of Possible Agreement — the range where a deal exists), your reservation price (the worst deal you'd accept), and the value creation opportunities (what non-monetary terms could make a lower price acceptable, or what could you offer that costs you little but matters to them?).

### Output
Your BATNA + their estimated BATNA + ZOPA range + reservation price + 3 value creation opportunities
02
AGENT · NEGOTIATION STRATEGY

Negotiation Strategy Architect

03
AGENT · NEGOTIATION SCRIPT

Negotiation Script Writer

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 3 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Negotiation Intelligence Gatherer

Your BATNA + their estimated BATNA + ZOPA range + reservation price + 3 value creation opportunities

Negotiation Strategy Architect

Opening position + 3 justifications + concession strategy (sequence) + closing strategy + walk-away signals

Negotiation Script Writer

Full negotiation script: opening + ask statement + silence protocol + 3 objection responses + counter-offer + close

★ MULTI-AGENT PACK

The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

Free