Make Auto mode route prompts to the best model
Auto mode currently seems to default mostly to ChatGPT. It would be a major UX improvement if Auto could analyze the user’s prompt or intent and dynamically route the query to the best model for that task. For example, different prompts could be routed based on whether the user needs coding help, creative writing, deep reasoning, speed, research, or general assistance. Why it matters: Smarter Auto routing would reduce decision fatigue, improve answer quality, and make Anuma feel more intelligent and user-friendly.
okgohome4 14 days ago
Feature Request
Make Auto mode route prompts to the best model
Auto mode currently seems to default mostly to ChatGPT. It would be a major UX improvement if Auto could analyze the user’s prompt or intent and dynamically route the query to the best model for that task. For example, different prompts could be routed based on whether the user needs coding help, creative writing, deep reasoning, speed, research, or general assistance. Why it matters: Smarter Auto routing would reduce decision fatigue, improve answer quality, and make Anuma feel more intelligent and user-friendly.
okgohome4 14 days ago
Feature Request
Completed
Add short descriptions for each AI model
Anuma offers a wide range of advanced AI models, but first-time and casual users may not know which model is best for their specific task. It would be helpful to add a tooltip, info icon, or short description for each model explaining its strengths and best use cases, such as coding, creative writing, logical reasoning, speed, research, or general chat. Why it matters: Clear model guidance would help users choose the right tool faster, get better results, and feel more confident using Anuma.
okgohome4 14 days ago
Feature Request
Completed
Add short descriptions for each AI model
Anuma offers a wide range of advanced AI models, but first-time and casual users may not know which model is best for their specific task. It would be helpful to add a tooltip, info icon, or short description for each model explaining its strengths and best use cases, such as coding, creative writing, logical reasoning, speed, research, or general chat. Why it matters: Clear model guidance would help users choose the right tool faster, get better results, and feel more confident using Anuma.
okgohome4 14 days ago
Feature Request
Completed
Credits?
I Still Have Credits left but for some odd reason it says i’m out of credits and wrong generate the next response.. idk
An Anonymous User 10 days ago
🐛 Bug Reports
Completed
Credits?
I Still Have Credits left but for some odd reason it says i’m out of credits and wrong generate the next response.. idk
An Anonymous User 10 days ago
🐛 Bug Reports
Completed
Title: File Context is Not Shared Sequentially Across All Models in Multi-Agent Mode Body: I’ve noticed a critical issue with context/file sharing when running multiple agents simultaneously. When I uploaded a PDF manuscript (ASCOM-D-26-00177.pdf) and asked for an analysis, only a few models (like ChatGPT 5.5 and Gemini 3.1 Pro) successfully recognized and summarized the document. However, at the exact same time, other models (like Claude Sonnet 4.6 and Claude Opus 4.7) completely failed to read the uploaded file. Instead of analyzing it, they just outputted their default greeting templates (e.g., "What would you like me to analyze? Please paste your text..."). The core strength of the Multi-Agent mode should be "cross-validation"—allowing users to compare how different models analyze the exact same data to spot overlapping issues. Currently, because the file context isn't being properly fed to all selected models simultaneously, this collective intelligence feature is broken. Please review the multi-agent token/file-routing logic so that all active agents can access the uploaded attachment seamlessly.
okgohome4 14 days ago
🐛 Bug Reports
Completed
Title: File Context is Not Shared Sequentially Across All Models in Multi-Agent Mode Body: I’ve noticed a critical issue with context/file sharing when running multiple agents simultaneously. When I uploaded a PDF manuscript (ASCOM-D-26-00177.pdf) and asked for an analysis, only a few models (like ChatGPT 5.5 and Gemini 3.1 Pro) successfully recognized and summarized the document. However, at the exact same time, other models (like Claude Sonnet 4.6 and Claude Opus 4.7) completely failed to read the uploaded file. Instead of analyzing it, they just outputted their default greeting templates (e.g., "What would you like me to analyze? Please paste your text..."). The core strength of the Multi-Agent mode should be "cross-validation"—allowing users to compare how different models analyze the exact same data to spot overlapping issues. Currently, because the file context isn't being properly fed to all selected models simultaneously, this collective intelligence feature is broken. Please review the multi-agent token/file-routing logic so that all active agents can access the uploaded attachment seamlessly.
okgohome4 14 days ago
🐛 Bug Reports
Limited Practical Capabilities of Multi-Agents
Hello Anuma AI Team, As an active user of Anuma AI, I am sharing a few observations and constructive suggestions to help improve the platform and enhance the overall user experience. 1. Slower Response Times When Deep Search is Disabled Issue: Ironically, the response time is noticeably slower when 'Deep Search' is turned off compared to when it is enabled. Testing: I tested this about 5 different times, and in almost every instance, disabling the Deep Search feature resulted in a delayed response. Suggestion: Typically, skipping the deep search process should yield faster results. Please review and optimize the internal routing/logic for queries when Deep Search is toggled off. 2. Limited Practical Capabilities of Multi-Agents (Feature Discrepancy) Issue: Having access to a wide variety of AI agents is a massive advantage for Anuma AI. However, the downside is that these agents cannot perform the core tasks they are originally capable of on their native platforms. Examples: While Gemini natively excels at generating AI Audio Overviews and advanced research tasks, selecting Gemini within Anuma AI does not allow for audio creation. Native models like GPT and Gemini can easily generate and output PDF files, but within Anuma AI, they either fail to do so or state that the feature is currently unavailable. Suggestion: Increasing the number of available agents is great, but it is equally important to improve integration depth. Please consider expanding the ecosystem so users can fully utilize each agent’s unique multimodal and file-generation capabilities. 3. Boosting User Acquisition via Blockchain Integration (ZetaChain & Fee Rebates) Proposal: To attract a larger user base and drive higher retention, I suggest deeply integrating blockchain mechanics, specifically by further activating ZetaChain. The Idea: A certain percentage (%) of the transaction/gas fees generated on the platform could be retained and converted into credits or mileage for the user. Users can then spend these accumulated credits directly within Anuma AI to pay for premium features, extra token usage, or specialized agent access. Expected Impact: This would heavily stimulate the ZetaChain ecosystem while providing a strong financial incentive ("the more you use, the more you earn") for users to stay locked into the Anuma AI platform. Thank you for your continuous hard work on this platform, and I look forward to seeing it evolve!
okgohome4 14 days ago
Feature Request
Limited Practical Capabilities of Multi-Agents
Hello Anuma AI Team, As an active user of Anuma AI, I am sharing a few observations and constructive suggestions to help improve the platform and enhance the overall user experience. 1. Slower Response Times When Deep Search is Disabled Issue: Ironically, the response time is noticeably slower when 'Deep Search' is turned off compared to when it is enabled. Testing: I tested this about 5 different times, and in almost every instance, disabling the Deep Search feature resulted in a delayed response. Suggestion: Typically, skipping the deep search process should yield faster results. Please review and optimize the internal routing/logic for queries when Deep Search is toggled off. 2. Limited Practical Capabilities of Multi-Agents (Feature Discrepancy) Issue: Having access to a wide variety of AI agents is a massive advantage for Anuma AI. However, the downside is that these agents cannot perform the core tasks they are originally capable of on their native platforms. Examples: While Gemini natively excels at generating AI Audio Overviews and advanced research tasks, selecting Gemini within Anuma AI does not allow for audio creation. Native models like GPT and Gemini can easily generate and output PDF files, but within Anuma AI, they either fail to do so or state that the feature is currently unavailable. Suggestion: Increasing the number of available agents is great, but it is equally important to improve integration depth. Please consider expanding the ecosystem so users can fully utilize each agent’s unique multimodal and file-generation capabilities. 3. Boosting User Acquisition via Blockchain Integration (ZetaChain & Fee Rebates) Proposal: To attract a larger user base and drive higher retention, I suggest deeply integrating blockchain mechanics, specifically by further activating ZetaChain. The Idea: A certain percentage (%) of the transaction/gas fees generated on the platform could be retained and converted into credits or mileage for the user. Users can then spend these accumulated credits directly within Anuma AI to pay for premium features, extra token usage, or specialized agent access. Expected Impact: This would heavily stimulate the ZetaChain ecosystem while providing a strong financial incentive ("the more you use, the more you earn") for users to stay locked into the Anuma AI platform. Thank you for your continuous hard work on this platform, and I look forward to seeing it evolve!
okgohome4 14 days ago
Feature Request
Public API for developers
A REST API so developers can build on top of Anuma — automate workflows, create custom integrations, and extend the platform.
Jonathan Covey 15 days ago
Feature Request
Public API for developers
A REST API so developers can build on top of Anuma — automate workflows, create custom integrations, and extend the platform.
Jonathan Covey 15 days ago
Feature Request
In Progress
Native mobile app (iOS & Android)
A dedicated mobile app for Anuma with push notifications, offline access, and a native experience.
Jonathan Covey 15 days ago
High Priority
Feature Request
In Progress
Native mobile app (iOS & Android)
A dedicated mobile app for Anuma with push notifications, offline access, and a native experience.
Jonathan Covey 15 days ago
High Priority
Feature Request
More AI model options
Add support for additional AI models beyond the current lineup - more choice for different tasks and preferences.
Jonathan Covey 15 days ago
🔗 Integrations
More AI model options
Add support for additional AI models beyond the current lineup - more choice for different tasks and preferences.
Jonathan Covey 15 days ago
🔗 Integrations
Planned
App Builder — Create custom apps with AI
Build and deploy custom applications powered by AI directly within Anuma.
Jonathan Covey 15 days ago
Feature Request
Planned
App Builder — Create custom apps with AI
Build and deploy custom applications powered by AI directly within Anuma.
Jonathan Covey 15 days ago
Feature Request
File Context is Not Shared Sequentially Across All Models in Multi-Agent Mode Body: I’ve noticed a critical issue with context/file sharing when running multiple agents simultaneously. When I uploaded a PDF manuscript (ASCOM-D-26-00177.pdf) and asked for an analysis, only a few models (like ChatGPT 5.5 and Gemini 3.1 Pro) successfully recognized and summarized the document. However, at the exact same time, other models (like Claude Sonnet 4.6 and Claude Opus 4.7) completely failed to read the uploaded file. Instead of analyzing it, they just outputted their default greeting templates (e.g., "What would you like me to analyze? Please paste your text..."). The core strength of the Multi-Agent mode should be "cross-validation"—allowing users to compare how different models analyze the exact same data to spot overlapping issues. Currently, because the file context isn't being properly fed to all selected models simultaneously, this collective intelligence feature is broken. Please review the multi-age
Hello Anuma AI Team, I am a frequent user of your service, and I would like to report a few bugs I encountered recently, along with a suggestion for a better mobile user experience. 1. File Upload Memory & Recognition Error (Infinite Loop Issue) Issue: After uploading a file and receiving the initial analysis, the AI often fails to remember the file in subsequent prompts. It either asks me to upload the file again or acknowledges that a file is there but says it cannot read it. Impact: Re-uploading the file within the same chat does not fix the problem. This forces me into an infinite loop where I have to open a completely new chat session and start over every single time. Please look into the context retention and file re-recognition logic. 2. 4-Agent Mode Bugs Upload Restriction Bug: If I select a specific agent first, the file upload feature becomes disabled. Strangely, if I upload the file first and then select the exact same agent, it works fine. Context Reset Bug: In this 4-agent mode, right after receiving the initial analysis result, asking any follow-up question completely resets the conversation history and context. 3. Mobile UI Improvement Suggestion (AI Tool Pros & Cons) Current Problem: On the PC version, it is very easy to see the pros and cons of each AI tool. However, this information is completely missing on mobile, making it difficult to choose the right AI on the go. Suggestion: It would be highly beneficial to add a small info button (like an 'i' icon) next to each AI's name on mobile. Tapping this button could reveal the pros, cons, and characteristics of that tool, matching the PC experience. I am sharing this in hopes of helping Anuma AI become an even better platform. Thank you for your time and effort in improving the service, and I look forward to seeing these updates! Best regards, [Minjun Kim]
okgohome4 8 days ago
Feature Request
File Context is Not Shared Sequentially Across All Models in Multi-Agent Mode Body: I’ve noticed a critical issue with context/file sharing when running multiple agents simultaneously. When I uploaded a PDF manuscript (ASCOM-D-26-00177.pdf) and asked for an analysis, only a few models (like ChatGPT 5.5 and Gemini 3.1 Pro) successfully recognized and summarized the document. However, at the exact same time, other models (like Claude Sonnet 4.6 and Claude Opus 4.7) completely failed to read the uploaded file. Instead of analyzing it, they just outputted their default greeting templates (e.g., "What would you like me to analyze? Please paste your text..."). The core strength of the Multi-Agent mode should be "cross-validation"—allowing users to compare how different models analyze the exact same data to spot overlapping issues. Currently, because the file context isn't being properly fed to all selected models simultaneously, this collective intelligence feature is broken. Please review the multi-age
Hello Anuma AI Team, I am a frequent user of your service, and I would like to report a few bugs I encountered recently, along with a suggestion for a better mobile user experience. 1. File Upload Memory & Recognition Error (Infinite Loop Issue) Issue: After uploading a file and receiving the initial analysis, the AI often fails to remember the file in subsequent prompts. It either asks me to upload the file again or acknowledges that a file is there but says it cannot read it. Impact: Re-uploading the file within the same chat does not fix the problem. This forces me into an infinite loop where I have to open a completely new chat session and start over every single time. Please look into the context retention and file re-recognition logic. 2. 4-Agent Mode Bugs Upload Restriction Bug: If I select a specific agent first, the file upload feature becomes disabled. Strangely, if I upload the file first and then select the exact same agent, it works fine. Context Reset Bug: In this 4-agent mode, right after receiving the initial analysis result, asking any follow-up question completely resets the conversation history and context. 3. Mobile UI Improvement Suggestion (AI Tool Pros & Cons) Current Problem: On the PC version, it is very easy to see the pros and cons of each AI tool. However, this information is completely missing on mobile, making it difficult to choose the right AI on the go. Suggestion: It would be highly beneficial to add a small info button (like an 'i' icon) next to each AI's name on mobile. Tapping this button could reveal the pros, cons, and characteristics of that tool, matching the PC experience. I am sharing this in hopes of helping Anuma AI become an even better platform. Thank you for your time and effort in improving the service, and I look forward to seeing these updates! Best regards, [Minjun Kim]
okgohome4 8 days ago
Feature Request
Completed
Title: File Context is Not Shared Sequentially Across All Models in Multi-Agent Mode Body: I’ve noticed a critical issue with context/file sharing when running multiple agents simultaneously. When I uploaded a PDF manuscript (ASCOM-D-26-00177.pdf) and asked for an analysis, only a few models (like ChatGPT 5.5 and Gemini 3.1 Pro) successfully recognized and summarized the document. However, at the exact same time, other models (like Claude Sonnet 4.6 and Claude Opus 4.7) completely failed to read the uploaded file. Instead of analyzing it, they just outputted their default greeting templates (e.g., "What would you like me to analyze? Please paste your text..."). The core strength of the Multi-Agent mode should be "cross-validation"—allowing users to compare how different models analyze the exact same data to spot overlapping issues. Currently, because the file context isn't being properly fed to all selected models simultaneously, this collective intelligence feature is broken. Please review the multi-age
Feedback on Deep Search Mode: Answers are less detailed and shorter than when turned off [Issue Description] When asking broad conceptual questions such as "What is the universe?" (우주란), the standard mode (Deep Search OFF) provides a rich, friendly, and detailed response filled with specific examples like stars, planets, galaxies, and gravity, along with scientific and philosophical contexts. (Please refer to attached files 1000005693.jpg and 1000005695.jpg). However, when Deep Search is turned ON, the response starts with a very dry, single-line dictionary definition ("The universe is the sum of everything that exists") and is significantly shorter and more overly compressed than the standard mode. (Please refer to attached files 1000005697.jpg and 1000005699.jpg). [Suggestions for Improvement] Users naturally expect "Deep Search" to deliver much deeper, more thorough analysis and advanced information (e.g., modern cosmological theories, expanded data, etc.) compared to the standard mode. Currently, the system seems to interpret "Deep Search" as "concise summarization," creating a gap between user expectations and the actual output. Even when a user inputs a single broad keyword, the Deep Search mode should expand upon the core definition by providing advanced context or academic background, rather than just spitting out a brief, over-summarized response. I hope the prompt interpretation logic can be improved to reflect this. Option 2: Brief & Direct (간결한 요약형) Subject: Deep Search mode provides less detailed answers than when it's off When I ask the same question ("What is the universe?"), the standard mode with Deep Search OFF (1000005693.jpg) actually gives a much more detailed explanation with plenty of examples. On the other hand, when I turn Deep Search ON (1000005697.jpg), the answer becomes way too simple and over-summarized, merely stating that it is "the sum of everything that exists." As a user, I expect more depth and details when turning on "Deep Search," so it feels counterintuitive that the content actually shrinks. Even for single-word queries, please improve the Deep Search mode so that it expands into deeper, more co mprehensive information.
okgohome4 13 days ago
Feature Request
Completed
Title: File Context is Not Shared Sequentially Across All Models in Multi-Agent Mode Body: I’ve noticed a critical issue with context/file sharing when running multiple agents simultaneously. When I uploaded a PDF manuscript (ASCOM-D-26-00177.pdf) and asked for an analysis, only a few models (like ChatGPT 5.5 and Gemini 3.1 Pro) successfully recognized and summarized the document. However, at the exact same time, other models (like Claude Sonnet 4.6 and Claude Opus 4.7) completely failed to read the uploaded file. Instead of analyzing it, they just outputted their default greeting templates (e.g., "What would you like me to analyze? Please paste your text..."). The core strength of the Multi-Agent mode should be "cross-validation"—allowing users to compare how different models analyze the exact same data to spot overlapping issues. Currently, because the file context isn't being properly fed to all selected models simultaneously, this collective intelligence feature is broken. Please review the multi-age
Feedback on Deep Search Mode: Answers are less detailed and shorter than when turned off [Issue Description] When asking broad conceptual questions such as "What is the universe?" (우주란), the standard mode (Deep Search OFF) provides a rich, friendly, and detailed response filled with specific examples like stars, planets, galaxies, and gravity, along with scientific and philosophical contexts. (Please refer to attached files 1000005693.jpg and 1000005695.jpg). However, when Deep Search is turned ON, the response starts with a very dry, single-line dictionary definition ("The universe is the sum of everything that exists") and is significantly shorter and more overly compressed than the standard mode. (Please refer to attached files 1000005697.jpg and 1000005699.jpg). [Suggestions for Improvement] Users naturally expect "Deep Search" to deliver much deeper, more thorough analysis and advanced information (e.g., modern cosmological theories, expanded data, etc.) compared to the standard mode. Currently, the system seems to interpret "Deep Search" as "concise summarization," creating a gap between user expectations and the actual output. Even when a user inputs a single broad keyword, the Deep Search mode should expand upon the core definition by providing advanced context or academic background, rather than just spitting out a brief, over-summarized response. I hope the prompt interpretation logic can be improved to reflect this. Option 2: Brief & Direct (간결한 요약형) Subject: Deep Search mode provides less detailed answers than when it's off When I ask the same question ("What is the universe?"), the standard mode with Deep Search OFF (1000005693.jpg) actually gives a much more detailed explanation with plenty of examples. On the other hand, when I turn Deep Search ON (1000005697.jpg), the answer becomes way too simple and over-summarized, merely stating that it is "the sum of everything that exists." As a user, I expect more depth and details when turning on "Deep Search," so it feels counterintuitive that the content actually shrinks. Even for single-word queries, please improve the Deep Search mode so that it expands into deeper, more co mprehensive information.
okgohome4 13 days ago
Feature Request
Planned
Housing & Leasing Agent
An AI agent dedicated to reviewing leases for red flags, drafting demand letters, analyzing rent increases against local market data, and guide you through security deposit recovery and move-out compliance.
Jonathan Covey 15 days ago
Feature Request
Planned
Housing & Leasing Agent
An AI agent dedicated to reviewing leases for red flags, drafting demand letters, analyzing rent increases against local market data, and guide you through security deposit recovery and move-out compliance.
Jonathan Covey 15 days ago
Feature Request