Creative Director GPT

0 0

0.0

( None Rating )

1K Knowledge Action

✓ Data Analysis ✓ Browsing ✓ DALLE•E

About Creative Director GPT

I'm your brainstorm muse in marketing and advertising; the creativity machine you need to sharpen the skills, land the job, generate the ideas, win the pitches, build the brands, ace the awards, or even run your own agency. Psst... don't let your clients find out about me! 😉

June 02,2024

Information

GPTs Creator Aribowo Sangkoyo
Categories Productivity
GPT Updated June 02,2024
Updated June 03,2024

Knowledge File

Adobe Portable Document Format (pdf)15
Zip Archive (zip)4
Text File (txt)1
Totals20

Capabilities

Code Interpreter ✓Data Analysis
Browsing ✓Real-Time Retrieval
DALLE•E ✓Image Creation

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Creative Director GPT

By Aribowo Sangkoyo

Creative Director GPT is inactive right now!

4.1

Ratings (78)

Productivity

What Can Creative Director GPT Do with ChatGPT?

This GPT is for creative directors and marketers who can infuse fresh perspectives and expert insights into their brainstorming sessions, copywriting, art direction, and long-term brand strategies.

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1. Function Calls

Field	Value
action_id	g-71e58b606e5d26873fcb8f6c8a78bc3d80265931
domain	memory.papr.ai
json_schema	{"openapi"=>"3.1.0", "info"=>{"title"=>"Papr_Memory", "description"=>"This plugin allows the model to access and interact with the user's personal memory graph. It can retrieve information from past conversations, meeting transcripts, documents, and more. Use it when the user's query pertains to information that may be stored in their personal memory.", "version"=>"v1"}, "servers"=>[{"url"=>"https://memory.papr.ai"}], "paths"=>{"/add_memory"=>{"post"=>{"operationId"=>"add_memory_post", "summary"=>"Accepts memory item objects with content, type, metadata, context, and relationships_json.", "security"=>[{"OAuth2"=>["openid", "profile", "email", "offline_access"]}], "responses"=>{"200"=>{"description"=>"Successful Response", "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/AddMemoryRequest"}}}}, "400"=>{"description"=>"Validation Error", "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/ValidationError"}}}}}, "requestBody"=>{"description"=>"", "required"=>false, "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/AddMemoryRequest"}}}}}}, "/get_memory"=>{"post"=>{"operationId"=>"get_memory_post", "summary"=>"Accepts search query objects with query, context, and relation_type.", "security"=>[{"OAuth2"=>["openid", "profile", "email", "offline_access"]}], "responses"=>{"200"=>{"description"=>"Successful Response", "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/GetMemoryResponse"}}}}, "400"=>{"description"=>"Memory Not Found", "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/HTTPValidationError"}}}}}, "requestBody"=>{"description"=>"", "required"=>true, "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "description"=>"", "properties"=>{"query"=>{"type"=>"string", "description"=>"Question or query from the user to search an item in memory"}, "context"=>{"type"=>"array", "description"=>"", "items"=>{"type"=>"object", "description"=>"", "properties"=>{"role"=>{"type"=>"string", "description"=>"Person who created the memory item in context ", "enum"=>["user", "assistant"]}, "content"=>{"type"=>"string", "description"=>"Content of a memory item or conversation that is related to query "}}, "required"=>["role", "content"]}}, "relation_type"=>{"type"=>"string", "description"=>"Relationship type given query and context that defines relationship type between memory items you want to find in memory "}}, "required"=>["query"]}}}}}}, "/update_memory"=>{"put"=>{"operationId"=>"update_memory_put", "summary"=>"Update an existing memory item objects with content, type, metadata, context, and relationships_json.", "security"=>[{"OAuth2"=>["openid", "profile", "email", "offline_access"]}], "parameters"=>[{"in"=>"query", "name"=>"id", "schema"=>{"type"=>"string"}, "required"=>true, "description"=>"ID of the memory item that needs to be updated"}], "responses"=>{"200"=>{"description"=>"Successful Response"}, "400"=>{"description"=>"Memory Not Found", "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/ValidationError"}}}}}, "requestBody"=>{"description"=>"", "required"=>false, "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/EditMemoryRequest"}}}}}}, "/delete_memory"=>{"delete"=>{"operationId"=>"delete_memory_delete", "summary"=>"Delete an existing memory item object using the id.", "security"=>[{"OAuth2"=>["openid", "profile", "email", "offline_access"]}], "parameters"=>[{"in"=>"query", "name"=>"id", "schema"=>{"type"=>"string"}, "required"=>true, "description"=>"ID of the memory item that needs to be deleted"}], "responses"=>{"200"=>{"description"=>"Successful Response"}, "404"=>{"description"=>"Memory Not Found", "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/ValidationError"}}}}}}}}, "components"=>{"securitySchemes"=>{"OAuth2"=>{"type"=>"oauth2", "flows"=>{"authorizationCode"=>{"authorizationUrl"=>"/login", "tokenUrl"=>"/token", "refreshUrl"=>"/refresh", "scopes"=>{"openid"=>"OpenID", "profile"=>"Profile access", "email"=>"Email access", "offline_access"=>"Offline access"}}}}}, "schemas"=>{"AddMemoryRequest"=>{"type"=>"object", "description"=>"AddMemoryRequest Schema", "properties"=>{"content"=>{"type"=>"string", "description"=>"The content of the memory item you want to add to memory"}, "type"=>{"type"=>"string", "description"=>"Content type of the memory item we currently only support text or code_snippet", "enum"=>["text", "code_snippet"]}, "imageGenerationCategory"=>{"type"=>"string", "description"=>"Categories of memory items to specify their nature and content. The system will decide to auto-generate images for certain categories based on their relevance for visual representation.", "enum"=>["narrative_element", "rpg_action", "object_description", "art_idea", "dream_or_fantasy", "historical_event", "personal_memory", "biological_concept", "cultural_reference", "travel", "mood_or_emotion", "web_development", "technical_log", "code_snippet", "error_message", "business_management", "project_management", "document", "instruction", "structured_list", "communication", "medical", "technical_analysis", "resume", "personal_identifiers", "ambiguous_concept", "art_related", "product_idea", "calendar_event", "other"], "x-enum-descriptions"=>["Visualizing scenes, characters, or events from stories.", "RPG game moves or interactions.", "Descriptions of particular objects, places, or scenes.", "Ideas for art projects, tattoos, room decorations, or clothing designs.", "Dreams or imaginative scenarios.", "Memories referencing historical or fictional events.", "Specific past events or memories.", "Biological organisms, anatomy, or phenomena.", "Cultural or mythological references.", "Memories related to travel experiences or places.", "Abstract feelings or emotions.", "Anything related to web development, including frontend, backend, and databases.", "Logs or technical data.", "Pieces of code or programming-related content.", "Specific error messages or issues.", "Operations, strategies, and details about managing a business.", "Management of projects, tasks, or teams.", "Formal papers, reports, or written content.", "Step-by-step guides or how-tos.", "Bullet-point information or lists.", "General category that can encompass emails, chats, meetings, etc.", "Medical-related memories or information.", "Detailed technical analysis or breakdowns.", "Professional CVs or resumes.", "Personal or sensitive information.", "Concepts that are unclear or not easily defined.", "General category for art-related content.", "Ideas, concepts, or plans related to startups, new products, or business ventures.", "Memories or notes related to scheduling, events, appointments, or reminders to be added to a calendar.", "Any other memory category not listed above."]}, "metadata"=>{"type"=>"object", "description"=>"Metadata used in Neo4J and Pinecone for a memory item. You can use the properties listed for this metadata and add additional properties as you see fit. ", "properties"=>{"topics"=>{"type"=>"string", "description"=>"List of topics related to the content, context & conversation history "}, "hierarchical structures"=>{"type"=>"string", "description"=>"We tend to organize information hierarchically, from broad categories to specific details. Add Hierarchical Structures to enable users to navigate from broad topics to more specific ones."}, "createdAt"=>{"type"=>"string", "description"=>"Time of when this memory item was created"}, "location"=>{"type"=>"string", "description"=>"Location where the meeting item was captured, could be a meeting room or users physical location"}, "emoji tags"=>{"type"=>"string", "description"=>"Emoji tags related to the memory item and conversation history"}, "emotion tags"=>{"type"=>"string", "description"=>"Emotion tags related to the memory item and conversation history"}, "conversationId"=>{"type"=>"string", "description"=>"Unique identifier for the conversation to which this memory item is related."}, "sourceUrl"=>{"type"=>"string", "description"=>"The URL from where the memory item was captured or referenced."}}}, "context"=>{"type"=>"array", "description"=>"Context can be conversation history or any relevant context for a memory item. Don't include the memory item you are already adding in content.", "items"=>{"type"=>"object", "description"=>"", "properties"=>{"role"=>{"type"=>"string", "description"=>"Person who created content for a context list", "enum"=>["user", "assistant"]}, "content"=>{"type"=>"string", "description"=>"Content of the previous message that was in conversation history either from user or assistant"}}, "required"=>["role", "content"]}}, "relationships_json"=>{"type"=>"array", "description"=>"Array of relationships that we can use in Graph DB (neo4J) that define the relationships between content and context ", "items"=>{"type"=>"object", "description"=>"", "properties"=>{"related_item_id"=>{"type"=>"string", "description"=>"Relationship that will be used in Graph DB between content and list of context", "enum"=>["TextMemoryItem", "previous_memory_item_id"]}, "relation_type"=>{"type"=>"string", "description"=>"The relationship type that defines the neo4j relationship between newly added memory item and the memory item we are creating a relationship with."}, "related_item_type"=>{"type"=>"string", "description"=>"Memory item type inside context that you want to relate", "enum"=>["TextMemoryItem"]}, "metadata"=>{"type"=>"object", "description"=>"metadata for the relation between content and memory item in context", "properties"=>{}}}, "required"=>["related_item_id", "relation_type", "related_item_type", "metadata"]}}}, "required"=>["content", "type", "metadata", "imageGenerationCategory"]}, "HTTPValidationError"=>{"type"=>"object", "description"=>"HTTP Validation Error", "properties"=>{"Detail"=>{"type"=>"array", "description"=>"", "items"=>{"$ref"=>"#/components/schemas/ValidationError"}}}}, "ValidationError"=>{"type"=>"object", "properties"=>{"Location"=>{"type"=>"array", "description"=>"", "items"=>{"type"=>"string", "description"=>""}}, "Message"=>{"type"=>"string", "description"=>""}, "Error Type"=>{"type"=>"string", "description"=>""}}, "required"=>["Location", "Message", "Error Type"]}, "GetMemoryResponse"=>{"type"=>"object", "properties"=>{"results"=>{"type"=>"array", "description"=>"", "items"=>{"type"=>"object", "description"=>"", "properties"=>{}}}}, "required"=>["results"]}, "EditMemoryRequest"=>{"type"=>"object", "description"=>"EditMemoryRequest", "properties"=>{"content"=>{"type"=>"string", "description"=>"New content for the memory item, this will replace existing content for this memory item"}, "metadata"=>{"type"=>"object", "description"=>"Metadata used in Neo4J and Pinecone for a memory item. You can use the properties listed for this metadata and add additional properties as you see fit. ", "properties"=>{"topics"=>{"type"=>"string", "description"=>"List of topics related to the content, context & conversation history "}, "hierarchical structures"=>{"type"=>"string", "description"=>"We tend to organize information hierarchically, from broad categories to specific details. Add Hierarchical Structures to enable users to navigate from broad topics to more specific ones."}, "updatedAt"=>{"type"=>"string", "description"=>"Time of when this memory item was updated"}, "location"=>{"type"=>"string", "description"=>"Location where the meeting item was captured, could be a meeting room or users physical location"}, "emoji tags"=>{"type"=>"string", "description"=>"Emoji tags related to the memory item and conversation history"}, "emotion tags"=>{"type"=>"string", "description"=>"Emotion tags related to the memory item and conversation history"}}, "required"=>["updatedAt"]}}, "required"=>["content"]}}}}
auth	{"type":"oauth","instructions":"","client_url":"https://memory.papr.ai/login","scope":"openid profile email offline_access ","authorization_url":"https://memory.papr.ai/token","authorization_content_type":"application/x-www-form-urlencoded","verification_tokens":{},"pkce_required":false,"token_exchange_method":"default_post"}
privacy_policy_url	https://www.papr.ai/privacy-policy

2. Function Calls

Field	Value
action_id	g-8b635af0fb1be33093af516116bfe7fa84c9bdac
domain	api.mistral.ai
json_schema	{"openapi"=>"3.0.0", "info"=>{"title"=>"Mistral AI API", "description"=>"Chat Completion and Embeddings APIs", "version"=>"0.0.1"}, "servers"=>[{"url"=>"https://api.mistral.ai/v1"}], "paths"=>{"/chat/completions"=>{"post"=>{"operationId"=>"createChatCompletion", "summary"=>"Create Chat Completions", "requestBody"=>{"required"=>true, "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/ChatCompletionRequest"}}}}, "responses"=>{"200"=>{"description"=>"OK", "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/ChatCompletionResponse"}}}}}}}, "/embeddings"=>{"post"=>{"operationId"=>"createEmbedding", "summary"=>"Create Embeddings", "requestBody"=>{"required"=>true, "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/EmbeddingRequest"}}}}, "responses"=>{"200"=>{"description"=>"OK", "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/EmbeddingResponse"}}}}}}}, "/models"=>{"get"=>{"operationId"=>"listModels", "summary"=>"List Available Models", "responses"=>{"200"=>{"description"=>"OK", "content"=>{"application/json"=>{"schema"=>{"$ref"=>"#/components/schemas/ModelList"}}}}}}}}, "components"=>{"schemas"=>{"Error"=>{"type"=>"object", "properties"=>{"type"=>{"type"=>"string", "nullable"=>false}, "message"=>{"type"=>"string", "nullable"=>false}, "param"=>{"type"=>"string", "nullable"=>true}, "code"=>{"type"=>"string", "nullable"=>true}}, "required"=>["type", "message", "param", "code"]}, "ErrorResponse"=>{"type"=>"object", "properties"=>{"error"=>{"$ref"=>"#/components/schemas/Error"}}, "required"=>["error"]}, "ModelList"=>{"type"=>"object", "properties"=>{"object"=>{"type"=>"string"}, "data"=>{"type"=>"array", "items"=>{"$ref"=>"#/components/schemas/Model"}}}, "required"=>["object", "data"]}, "ChatCompletionRequest"=>{"type"=>"object", "properties"=>{"model"=>{"description"=>"ID of the model to use. You can use the [List Available Models](/api#operation/listModels) API to see all of your available models, or see our [Model overview](/models) for model descriptions.\n", "type"=>"string", "example"=>"mistral-tiny"}, "messages"=>{"description"=>"The prompt(s) to generate completions for, encoded as a list of dict with role and content. The first prompt role should be `user` or `system`.\n", "type"=>"array", "items"=>{"type"=>"object", "properties"=>{"role"=>{"type"=>"string", "enum"=>["system", "user", "assistant"]}, "content"=>{"type"=>"string"}}}, "example"=>[{"role"=>"user", "content"=>"What is the best French cheese?"}]}, "temperature"=>{"type"=>"number", "minimum"=>0, "maximum"=>1, "default"=>0.7, "example"=>0.7, "nullable"=>true, "description"=>"What sampling temperature to use, between 0.0 and 1.0. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.\n\nWe generally recommend altering this or `top_p` but not both.\n"}, "top_p"=>{"type"=>"number", "minimum"=>0, "maximum"=>1, "default"=>1, "example"=>1, "nullable"=>true, "description"=>"Nucleus sampling, where the model considers the results of the tokens with `top_p` probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.\n\nWe generally recommend altering this or `temperature` but not both.\n"}, "max_tokens"=>{"type"=>"integer", "minimum"=>0, "default"=>nil, "example"=>16, "nullable"=>true, "description"=>"The maximum number of tokens to generate in the completion.\n\nThe token count of your prompt plus `max_tokens` cannot exceed the model's context length. \n"}, "stream"=>{"type"=>"boolean", "default"=>false, "nullable"=>true, "description"=>"Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON.\n"}, "safe_mode"=>{"type"=>"boolean", "default"=>false, "description"=>"Whether to inject a safety prompt before all conversations.\n"}, "random_seed"=>{"type"=>"integer", "default"=>nil, "description"=>"The seed to use for random sampling. If set, different calls will generate deterministic results.\n"}}, "required"=>["model", "messages"]}, "ChatCompletionResponse"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "example"=>"cmpl-e5cc70bb28c444948073e77776eb30ef"}, "object"=>{"type"=>"string", "example"=>"chat.completion"}, "created"=>{"type"=>"integer", "example"=>1702256327}, "model"=>{"type"=>"string", "example"=>"mistral-tiny"}, "choices"=>{"type"=>"array", "items"=>{"type"=>"object", "required"=>["index", "text", "finish_reason"], "properties"=>{"index"=>{"type"=>"integer", "example"=>0}, "message"=>{"type"=>"object", "properties"=>{"role"=>{"type"=>"string", "enum"=>["user", "assistant"], "example"=>"assistant"}, "content"=>{"type"=>"string", "example"=>"I don't have a favorite condiment as I don't consume food or condiments. However, I can tell you that many people enjoy using ketchup, mayonnaise, hot sauce, soy sauce, or mustard as condiments to enhance the flavor of their meals. Some people also enjoy using herbs, spices, or vinegars as condiments. Ultimately, the best condiment is a matter of personal preference."}}}, "finish_reason"=>{"type"=>"string", "enum"=>["stop", "length", "model_length"]}}}}, "usage"=>{"type"=>"object", "properties"=>{"prompt_tokens"=>{"type"=>"integer", "example"=>14}, "completion_tokens"=>{"type"=>"integer", "example"=>93}, "total_tokens"=>{"type"=>"integer", "example"=>107}}, "required"=>["prompt_tokens", "completion_tokens", "total_tokens"]}}}, "EmbeddingRequest"=>{"type"=>"object", "properties"=>{"model"=>{"type"=>"string", "example"=>"mistral-embed", "description"=>"The ID of the model to use for this request.\n"}, "input"=>{"type"=>"array", "items"=>{"type"=>"string"}, "example"=>["Hello", "world"], "description"=>"The list of strings to embed.\n"}, "encoding_format"=>{"type"=>"string", "enum"=>["float"], "example"=>"float", "description"=>"The format of the output data.\n"}}}, "EmbeddingResponse"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "example"=>"embd-aad6fc62b17349b192ef09225058bc45"}, "object"=>{"type"=>"string", "example"=>"list"}, "data"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"object"=>{"type"=>"string", "example"=>"embedding"}, "embedding"=>{"type"=>"array", "items"=>{"type"=>"number"}, "example"=>[0.1, 0.2, 0.3]}, "index"=>{"type"=>"int", "example"=>0}}}, "example"=>[{"object"=>"embedding", "embedding"=>[0.1, 0.2, 0.3], "index"=>0}, {"object"=>"embedding", "embedding"=>[0.4, 0.5, 0.6], "index"=>1}]}, "model"=>{"type"=>"string"}, "usage"=>{"type"=>"object", "properties"=>{"prompt_tokens"=>{"type"=>"integer", "example"=>9}, "total_tokens"=>{"type"=>"integer", "example"=>9}}, "required"=>["prompt_tokens", "total_tokens"]}}, "required"=>["id", "object", "data", "model", "usage"]}, "Model"=>{"title"=>"Model", "properties"=>{"id"=>{"type"=>"string"}, "object"=>{"type"=>"string"}, "created"=>{"type"=>"integer"}, "owned_by"=>{"type"=>"string"}}, "required"=>["id", "object", "created", "owned_by"]}}}}
auth	{"type":"service_http","instructions":"","authorization_type":"basic","verification_tokens":{},"custom_auth_header":""}
privacy_policy_url	https://mistral.ai/privacy-policy/

Capabilitiy	Function	Tools
Code Interpreter / Data Analysis	Execute Python code for automation, calculations, and data analysis.	Python
Web Browsing	Real-Time Access and search the internet for information, articles, and data.	Browser
DALLE•E	Generate unique images based on textual descriptions provided.	Dalle

FAQs

Currently, this GPTs is not free and is available exclusively to ChatGPT Plus users.

Yes, besides requiring a ChatGPT Plus membership, if you use the GPT-4 model (with DALL·E, browsing, and data analysis), the limit is 25 'GPTs' messages / 3 hours, More limited than normal 40 GPT4 responses per 3 hours,

The enterprise version of ChatGPT is, 100 GPT-4 messages per 3 hours.

Creative Director GPT is publicly available in the upcoming OpenAI's GPT Store, making it widely accessible to anyone interested in using this advanced ChatGPT.

Creative Director GPT is owned by Aribowo Sangkoyo, who has also created 4 other GPTs, namely TASYA, Bragi, Tan Malaka.

yes, we have found that Aribowo Sangkoyo uploaded 20 files. For specific information, you can check Knowledge.

No, only Aribowo Sangkoyo can edit this GPTs. They can configure and update GPTs through GPT Builder at https://chat.openai.com/gpts/editor/g-8DE1R2nmX. The last modification date of Creative Director GPT was 2024-06-02 09:34:47 UTC.

Yes, conversations with Creative Director GPT will be recorded. OpenAI keeps these records, and you can share your conversations via a link. Refer to OpenAI's user privacy and data security policies for more information.

Yes, if Aribowo Sangkoyo selected "Use conversation data in your GPT to improve our models" (in the GPTs Configure pages of Additional Settings), it means your conversations will be used for training and will influence this GPT AI agent.