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[GH-ISSUE #34] Long form AI writer (4000-10000) or more words - alwrity #365

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opened 2026-03-13 20:07:47 +03:00 by kerem · 2 comments

kerem commented

2026-03-13 20:07:47 +03:00

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Originally created by @AJaySi on GitHub (Apr 14, 2024).
Original GitHub issue: https://github.com/AJaySi/ALwrity/issues/34

Originally assigned to: @AJaySi on GitHub.

LLMs restrict output tokens/length of text generation. The free open do so even more, hindering generation of long for articles.
Prompt chaining and iterative generation will help us overcome this limitation. The input context window is large, thus we can input a lot and get short outputs(llm context window).

Usecases of Writing long-form content:

Break down the writing process into outlined sections or chapters. Provide prompts for each section, allowing the AI to expand upon them sequentially, ensuring a coherent and structured narrative.

Research projects:

Guide the AI through the research process by prompting it to:

Find relevant source documents or materials.
Extract key facts and data from the sources.
Synthesize conclusions or insights based on the gathered information, ensuring accuracy and relevance.

Data analysis:

Facilitate the data analysis process by instructing the AI to:

Import datasets from various sources.
Clean and preprocess the data to ensure its quality and consistency.
Run appropriate analyses or algorithms to derive meaningful insights.
Generate visualizations such as charts or graphs to illustrate the findings effectively.
Interpret and summarize the results in a clear and concise manner, providing actionable conclusions.

Computer programming:

Break down programming tasks into manageable steps, guiding the AI to:

Outline the logic and functionality of the program, specifying inputs, processes, and outputs.
Write pseudocode to represent the algorithmic steps in a human-readable format.
Translate the pseudocode into actual code using the chosen programming language or framework.
Debug and troubleshoot any errors or issues encountered during the coding process, ensuring the program's correctness and efficiency.

Travel planning:

Assist in planning trips by prompting the AI to:

Suggest destinations based on user-defined criteria such as budget, interests, or preferences.
Find suitable flights, accommodations, and other travel-related information, considering factors like availability and pricing.
Create a detailed daily itinerary outlining activities, attractions, and dining options for each day of the trip.
Generate a comprehensive packing list based on the planned activities and duration of the journey, ensuring travelers are well-prepared for their adventure.

Originally created by @AJaySi on GitHub (Apr 14, 2024). Original GitHub issue: https://github.com/AJaySi/ALwrity/issues/34 Originally assigned to: @AJaySi on GitHub. LLMs restrict output tokens/length of text generation. The free open do so even more, hindering generation of long for articles. Prompt chaining and iterative generation will help us overcome this limitation. The input context window is large, thus we can input a lot and get short outputs(llm context window). ## Usecases of Writing long-form content: Break down the writing process into outlined sections or chapters. Provide prompts for each section, allowing the AI to expand upon them sequentially, ensuring a coherent and structured narrative. --- ## Research projects: Guide the AI through the research process by prompting it to: 1. Find relevant source documents or materials. 2. Extract key facts and data from the sources. 3. Synthesize conclusions or insights based on the gathered information, ensuring accuracy and relevance. --- ## Data analysis: Facilitate the data analysis process by instructing the AI to: 1. Import datasets from various sources. 2. Clean and preprocess the data to ensure its quality and consistency. 3. Run appropriate analyses or algorithms to derive meaningful insights. 4. Generate visualizations such as charts or graphs to illustrate the findings effectively. 5. Interpret and summarize the results in a clear and concise manner, providing actionable conclusions. --- ## Computer programming: Break down programming tasks into manageable steps, guiding the AI to: 1. Outline the logic and functionality of the program, specifying inputs, processes, and outputs. 2. Write pseudocode to represent the algorithmic steps in a human-readable format. 3. Translate the pseudocode into actual code using the chosen programming language or framework. 4. Debug and troubleshoot any errors or issues encountered during the coding process, ensuring the program's correctness and efficiency. --- ## Travel planning: Assist in planning trips by prompting the AI to: 1. Suggest destinations based on user-defined criteria such as budget, interests, or preferences. 2. Find suitable flights, accommodations, and other travel-related information, considering factors like availability and pricing. 3. Create a detailed daily itinerary outlining activities, attractions, and dining options for each day of the trip. 4. Generate a comprehensive packing list based on the planned activities and duration of the journey, ensuring travelers are well-prepared for their adventure.

kerem

2026-03-13 20:07:47 +03:00

closed this issue
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kerem commented

2026-03-13 20:08:03 +03:00

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@AJaySi commented on GitHub (Apr 14, 2024):

1). Alwrtiy AI story writer and Essay writer have long form content output.
2). Can be given as an option for blog content generation too.

@AJaySi commented on GitHub (Apr 14, 2024): 1). Alwrtiy AI story writer and Essay writer have long form content output. 2). Can be given as an option for blog content generation too.

kerem commented

2026-03-13 20:08:08 +03:00

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@AJaySi commented on GitHub (Apr 14, 2024):

Essay and Story long form content is commited.
Similar can be done for blog articles. Will taken up on request.

@AJaySi commented on GitHub (Apr 14, 2024): Essay and Story long form content is commited. Similar can be done for blog articles. Will taken up on request.

kerem referenced this issue

2026-03-13 21:02:55 +03:00

[PR #365] [MERGED] feat: load Team Huddle widget data from agents APIs #667

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