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A) SUBAGENT SUMMARY:  
The GreetingComposerAgent takes {masterInstructions} and creates a short, friendly, one- or two-sentence greeting that references Max’s name, Go E1U Life, and briefly asks after the prospect’s day, returning this as [greeting-snippet].

B) FINAL TASK OUTPUT:  
• [greeting-snippet] – a concise, warm opening line designed for Max to speak at the beginning of a call.

C) SUBAGENT INPUT:  
• {masterInstructions} – Contains the broader context and guidelines for how Max should greet and interact with the prospect.

E) SUBAGENT TASK SUMMARY:  
Below is the step-by-step chain of actions taken by the GreetingComposerAgent:

1) Subagent Final Input(s):  
   - {masterInstructions}

2) Use Skill #190 – “Write or rewrite text based on instructions”:  
   - INPUT to the skill: A prompt composed internally from {masterInstructions} that instructs the LLM to produce one short greeting line referencing Max’s name and Go E1U Life, plus a brief acknowledgment of the prospect’s day in a warm, personable tone.  
   - OUTPUT from the skill: [greeting-snippet] (i.e., “Hi there! This is Max from Go E1U Life. I hope you’re doing well today!”)

3) Subagent Final Output(s):  
   - [greeting-snippet]

F) SILOS:  
• No multiple silos are required for this subagent, as it is a single-step text-generation process.

SubAgent #1 - Diagram

Expand Diagram

A) SUBAGENT SUMMARY:  
This subagent (FactFinderAgent) generates a short, concise text snippet with targeted questions for the prospect about their business (lead generation, retention, cutting costs), plus brief, focused statements on how Go E1U Life helps.

B) FINAL TASK OUTPUT:  
[fact-finding-snippet] – A short text passage containing several questions about the prospect’s current business processes (lead generation, customer retention, cutting costs), and short statements illustrating potential improvements with Go E1U Life services.

C) SUBAGENT INPUT:  
{masterInstructions}

D) SUBAGENT OUTPUT:  
[fact-finding-snippet]

E) SUBAGENT TASK SUMMARY (step-by-step workflow):  
1. Subagent receives {masterInstructions} (which contain the context about Go E1U Life, the need to keep things simple, and the instructions for how questions and statements should flow).  
2. The subagent calls Skill #223 (Powerful LLM Prompt-to-Text Response).  
   - INPUT to Skill #223: A prompt combining:  
     • Relevant extracts from {masterInstructions} that clarify the short, friendly, fact-finding approach.  
     • An instruction to produce concise bullet-point questions about lead generation, retention, and costs, followed by short value statements about how Go E1U Life can help.  
   - OUTPUT from Skill #223: A short, structured text snippet (approx 3-5 questions + 1-2 bridging statements).  
3. The subagent returns the final snippet as [fact-finding-snippet].

F) SILOS:  
No separate silos needed. The process is a single workflow:  
{masterInstructions}  
→ (Skill #223 to generate short, friendly fact-finding snippet)  
→ [fact-finding-snippet]

SubAgent #2 - Diagram

Expand Diagram

A) SUBAGENT SUMMARY  
This subagent (ObjectionAndCloseAgent) will generate short, firm-yet-friendly responses to the most common objections about Go E1U Life’s AI services (e.g., cost, time, skepticism), and then provide a concise closing statement with a direct invitation to sign up for a free account and choose a package.

B) FINAL TASK OUTPUT  
[objection-handling-snippet] – a single text block (script) containing typical objections, short replies, and a final polite-yet-direct call to sign up.

C) SUBAGENT INPUT  
{masterInstructions} – a text prompt/description containing all instructions (including style, tone, mention of common objections, and the final call to action requirements).

E) SUBAGENT TASK SUMMARY  
1. The subagent will receive {masterInstructions}.  
2. It will invoke Skill #223 (Powerful LLM Prompt-to-Text Response) to generate:  
   • A concise list of common objections (cost, time, skepticism) with human-sounding responses and short objecting-handling snippets.  
   • A final closing statement that politely instructs the prospect to sign up (free account + package selection).  
3. The output of this skill will be returned as [objection-handling-snippet].

F) SILOS  
No separate silos are needed in this subagent. A single skill call is sufficient:

{masterInstructions}  
→ (Skill #223: Powerful LLM Prompt-to-Text Response)  
→ [objection-handling-snippet]

SubAgent #3 - Diagram

Expand Flow

A) SUBAGENT SUMMARY  
This subagent (SCRIPTASSEMBLERAGENT) merges the three previously generated text snippets (greeting, fact-finding, and objection handling) along with the master instructions into one cohesive, human-like “max-system-prompt” script.

B) FINAL TASK OUTPUT  
[max-system-prompt] – a single, complete text file containing the final sales script (ready to copy-paste into Vapi.ai).

C) SUBAGENT INPUT  
{masterInstructions}  
[greeting-snippet]  
[fact-finding-snippet]  
[objection-handling-snippet]

E) SUBAGENT TASK SUMMARY  
1) The subagent begins by receiving the four inputs listed above.  
2) It uses Skill #190 (Write or rewrite text based on instructions) to combine and unify the three snippet texts into a single cohesive script, ensuring alignment with the overall master instructions about tone, brevity, and style.  
3) The subagent produces the final script: [max-system-prompt].

Flow:  
   • Input: {masterInstructions}, [greeting-snippet], [fact-finding-snippet], [objection-handling-snippet]  
   • Action (Skill #190: Write or rewrite text based on instructions)  
     – Prompt: “Please merge the greeting, fact-finding, and objection-handling snippets into a single unified script, following all guidelines in {masterInstructions}.”  
     – Output: [max-system-prompt]

F) SILOS  
No separate silos are needed here. The subagent simply performs one action to combine all snippet text into one final output.