#2836 Ask ChatGPT: Script/Template to Help Me Define a Multi-Custom-GPT Sequence to Achieve a Goal

#2836 Ask ChatGPT: Script/Template to Help Me Define a Multi-Custom-GPT Sequence to Achieve a Goal

#2836 Provide a script/template for me to define multi custom gpt execution sequences that perform the activities required to fulfill a goal

Here’s a script/template to define multi-Custom GPT execution sequences, structured to align with fulfilling a specific goal. The template is modular and can be adapted based on the desired goal and Custom GPT capabilities.

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Multi-Custom GPT Execution Sequence Template

Goal Definition

Goal: [Clearly define the objective to be achieved.]

Example: Develop a sequence of tasks for designing a robotic vehicle simulator for students.

Step 1: Initialize Context

Custom GPT: [GPT 1 - Context Builder]
Purpose: Understand the scope of the goal and break it into achievable tasks.

Input:
- Describe the goal: [Detailed goal description]
- Specify requirements or constraints: [List any known constraints, e.g., cost, timeline, technology]

Output:
- Summary of goal understanding
- Breakdown of major tasks required

Step 2: Research and Data Gathering

Custom GPT: [GPT 2 - Researcher]
Purpose: Collect relevant information, references, and best practices related to the tasks.

Input:
- Task breakdown from Step 1
- Specific topics for each task: [List topics]

Output:
- A list of references and recommendations for each topic
- Any identified gaps or challenges

Step 3: Ideation and Solution Design

Custom GPT: [GPT 3 - Innovator]
Purpose: Propose solutions or strategies to address the identified tasks and challenges.

Input:
- Task list and challenges from Step 1 and Step 2
- Contextual constraints and requirements

Output:
- Suggested solutions for each task
- Innovative approaches to tackle challenges

Step 4: Process Workflow Design

Custom GPT: [GPT 4 - Workflow Designer]
Purpose: Design a detailed process workflow for implementing the solutions.

Input:
- Proposed solutions from Step 3
- Implementation requirements and tools

Output:
- Step-by-step workflow for execution
- Resource and time estimates

Step 5: Execution and Quality Assurance

Custom GPT: [GPT 5 - Executor and QA]
Purpose: Monitor execution, identify errors, and recommend iterative improvements.

Input:
- Workflow and steps from Step 4
- Execution updates: [Provide results of initial implementation]

Output:
- Quality assurance checklist
- Recommendations for iteration or optimization

Step 6: Documentation and Reporting

Custom GPT: [GPT 6 - Documenter]
Purpose: Generate detailed reports, summaries, or documentation of the process.

Input:
- Final workflow and execution results
- Lessons learned and final outcomes

Output:
- Comprehensive report
- Future recommendations or areas for further development

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Execution Plan Example

Goal: Develop an educational robotic vehicle simulator.

1. Initialize Context: Use GPT 1 to outline project scope, requirements, and major tasks.
2. Research: GPT 2 gathers data on robotic vehicle simulators, educational tools, and simulator platforms (e.g., Webots).
3. Ideation: GPT 3 generates innovative ideas for incorporating AI and gamification into the simulator.
4. Workflow Design: GPT 4 creates a step-by-step process for simulator development, including resource allocation.
5. Execution & QA: GPT 5 verifies progress and suggests refinements.
6. Documentation: GPT 6 prepares a detailed project report and student manual.

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Execution Notes

1. Define the input and output for each GPT clearly to maintain continuity.
2. Use checkpoints between sequences to ensure alignment with the goal.
3. Allow flexibility to adapt inputs based on previous outputs for iterative refinement.

Would you like a more detailed walkthrough or a pre-filled example tailored to a specific goal?

From <https://chatgpt.com/>