Genspark Issues in Use: 7 Problems I Experienced and How I Dealt with Them

Table of Contents

Introduction

Genspark is an AI-powered development support tool. It offers features to assist from code generation to execution and deployment, and provides functions like Superchat and AI Drive.

Upon reviewing search queries in Search Console, I found multiple searches for "Genspark issues." I myself have encountered various problems while using Genspark.

This article introduces 7 major issues I have actually experienced and their countermeasures. I hope it will be helpful to those facing similar problems.

Note: The countermeasures introduced in this article do not guarantee a 100% solution. They are merely examples based on my experience.

Overview of Issues

The issues I encountered can be broadly classified into the following 7 categories:

  1. Stuck in Thinking (High frequency, high impact)
  2. Repeating the Same Process (Working memory loss)
  3. AI Drive Access Permission Expired (During prolonged use)
  4. Forgetting Easily, Lying (Hallucinations)
  5. Unable to Access Chat History (Potentially by design)
  6. Variability in Initial Agent Quality (Low capability from the start)
  7. Sandbox Content is Cleared (Volatile)

Let's look at the symptoms, timing of occurrence, and countermeasures for each issue in detail.

Issue 1: Stuck in Thinking (Infinite Loop)

Symptoms

Superchat gets stuck in a "thinking..." state and stops responding. This tends to occur particularly often when performing multitasking.

Frequency: High
Impact: High
This issue occurs frequently and has a significant impact as it completely halts work.

My Tried Solutions (3 Steps)

Step 1: Retry with the Stop button

Press the ■ Stop button at the bottom right to pause it, then issue the same instruction again. This sometimes resolves the issue.

Step 2: Explicit Stop Instruction

If it still doesn't recover, explicitly instruct it as follows:

"Please force stop temporarily, you are in an infinite loop."

Step 3: Move to a Different Chat

If the above also doesn't resolve it, give up and move to another Superchat. In this case, you will need to manually copy the conversation history, etc.

Preventive Measures

  • Create/Update Specifications: By regularly updating detailed specifications, you can prevent some rework.
  • Prohibit Multitasking: If it occurs frequently, instruct it with "Multitasking is prohibited. Please execute tasks one by one in order."

Issue 2: Repeating the Same Process (Working Memory Loss)

Symptoms

It forgets the task it just performed and tries to execute the same process again. Especially after being instructed to "Please reload" and pressing the reload button, it may attempt to re-execute content that has already been completed.

My Tried Solutions

  • Avoid Reloading as much as possible: Avoid reloading and check the current state via Superchat.
  • Confirm Current State: Explicitly ask, "What is the current progress?"
Hypothesized Cause: There may be an issue with how chat history is managed. History does not seem to be correctly restored upon reload.

Issue 3: AI Drive Access Permission Expired

Symptoms

Suddenly loses access to AI Drive, which was usable just moments before. This occurs when using Superchat for extended periods.

Timing of Occurrence

When using a single Superchat for a long time, Superchat will start displaying "Cannot access AI Drive."

My Tried Solutions

  • Switch to another Superchat early: When this symptom appears, hallucinations also become more severe and it becomes more forgetful, so early migration is recommended.
  • Create a Migration Package: Have it create a migration package for transitioning to the next Superchat and download it.
Warning Signs:
・Increased hallucinations
・Becoming more forgetful
If you observe these, consider migrating early.

Issue 4: Forgetting Easily, Lying (Hallucinations)

Symptoms

  • Quickly forgets past conversation content.
  • Presents information that is inconsistent with facts.
  • Ignores past decisions.

Hypothesized Cause

It seems unable to retain chat history for long. Beyond the immediate few conversations, older content often gets summarized in a strange way.

Fundamental Problem: This is thought to be due to the limitations of the AI's memory capacity and context management.

My Tried Solutions (Systematic Approach)

For this problem, I address it with the following systematic approach:

1. Specification Creation

Documenting project specifications allows the AI to refer to them even if it forgets.

For details, also refer to the article Genspark's Lying Problem.

2. UML Design Diagram Creation

Visualizing the system structure helps prevent misunderstandings.

3. Quality Check Workflow

Regular quality checks help detect hallucinations early.

Refer to the following articles for details:

4. Managing Chat Migration Timing

Migrating to a new chat at the appropriate time helps avoid problems.

Refer to the article Chat Migration Timing for details.

[Actual Example]
When I asked the current Superchat "How many conversations do you remember verbatim?", it replied "I remember 16." However, when I further clarified "Count only those you remember literally, not summarized," it responded, "To be honest, I remember 0 verbatim."

Superchat can "understand and reconstruct meaning content," but it does not retain "memory of the original text itself." This is one of the causes of hallucinations. The illusion of "remembering" and confidently answering can lead to lying.

Issue 5: Unable to Access Chat History

Symptoms

The agent forgets chat content and cannot refer to past conversation history.

The Truth (Considerations)

Whether this is a bug or a feature is unknown as official information cannot be confirmed. However, the following possibilities can be considered:

  • Context Window Constraints: AI models have limitations on the amount of text they can process at once (context window). In long conversations, older content may be compressed or deleted.
  • Session Management Specification: It's possible that Genspark's system design specifies that the agent cannot refer to all conversation history.
Note: Since official documentation or published specifications are not found, the above is a speculation based on general characteristics of AI systems.

My Tried Solutions

  • Manual Copy-Paste: If the agent has forgotten the content, I manually copy and paste the chat history to provide it.
  • Regular History Saving: Important conversations are regularly saved as text files.
Actual Example: When I asked the current Superchat "Write out everything I said in this conversation," it remembered 16 key instructions, questions, and comments. This is a relatively short conversation, but in long, complex conversations, the memory could become even more incomplete.

Issue 6: Variability in Initial Agent Quality

Symptoms

When opening a new chat, you may encounter an agent that is clearly low in capability from the start. Its understanding and execution abilities are significantly lower than usual.

Hypothesized Cause

It is hypothesized to be due to initial parameter effects, but details are unknown. General characteristics of AI systems such as the following may be involved:

  • Differences in Model Instances: If multiple AI model instances are running in parallel, there can be performance differences between instances.
  • Random Initialization: AI models may use random initial values (random seeds) at startup, leading to different response quality even for the same question.
  • Server Load Impact: Server load conditions may also affect response speed and quality.
Supplement: This is a phenomenon seen in many AI services, not limited to Genspark. Similar variations have been reported in other AI tools like ChatGPT and Claude.

My Tried Solutions

  • Cut Losses Early: If I feel its capabilities are low, I switch to another chat to rework, without wasting time.
  • Judge within the first 2-3 interactions: If its understanding is clearly low in the initial interactions, I switch immediately.
Judgment Criteria: Judge by its response to simple initial instructions. Be wary if it repeatedly asks about content it should immediately understand under normal circumstances.

Issue 7: Sandbox Content is Cleared

Symptoms

Files saved in the sandbox (/home/user/) disappear after a certain period.

Timing of Occurrence

It seems that the contents of the sandbox are cleared after a certain period of time or upon performing specific operations. The exact conditions are unknown.

My Tried Solutions

  • Regularly Save to AI Drive: Copy important files to AI Drive as needed.
  • Use /mnt/user-data/outputs: This directory seems to have relatively higher persistence.
  • Do Not Over-rely on Sandbox: Use it as a temporary workspace and always move deliverables to AI Drive.
Warning: The sandbox is volatile, so always save important files to AI Drive.

Information Confirmed on the Web and Official Site

Official Bug Information

The Genspark official website provides bug information and usage tips in its Help Center. Various other issues also seem to be reported.

Official bug information here:

Recommendation: When a problem occurs, it is recommended to first check the official Help Center for known issues or official recommended solutions.

Issues Reported in the Community

The following issues have been shared in communities like Reddit:

Memory Issues

  • Context gets compressed during long use, leading to loss of important information.
  • As projects become longer and more complex, past decisions and constraints are forgotten.

Credit Consumption Issues

  • There are reports of credits being consumed even when not in use.

Community Reference Links:

  • - Problems and solutions are shared among users.

Troubleshooting Guide

Official and community troubleshooting guides like the following have also been published:

Main Issues

  1. Performance and Speed Issues: Slow processing, no response.
  2. Connection/Network Errors: Unable to log in, timeout.
  3. Android Version Bugs: Insufficient notifications, inconsistent back button behavior.

Troubleshooting Reference Links:

Summary of Countermeasures

Preventive Approach

  1. Thorough Specifications and Design Diagrams: Document critical project information.
  2. Regular History Saving: Periodically back up conversation content.
  3. Multitasking Restrictions: Break down complex tasks and execute them one by one.
  4. Preparation of Migration Packages: Create regularly for long-duration tasks.

Symptomatic Treatment

  1. Thinking Loop → 3-step solution (stop → explicit instruction → migrate)
  2. Memory Loss → Avoid reloading, confirm status.
  3. Permission Expired → Early migration, create migration package.
  4. Hallucinations → Establish specifications and quality check system.
  5. History Access Unavailable → Manual copy-paste provision.
  6. Low-Quality Agent → Switch early.

Mental Aspect

Important Mindset:
・Work with the assumption that bugs will always occur.
・Don't strive for perfection.
・Always have workarounds ready.

Related Articles:

Conclusion

In this article, I introduced 7 Genspark issues I actually experienced and their countermeasures.

Key Points:

  • Issue 1 "Thinking Loop" is high frequency and high impact; the 3-step solution is effective.
  • Issue 2 "Memory Loss" can be mitigated by avoiding reloads.
  • Issue 3 "Permission Expired" is addressed by early migration and migration package creation.
  • Issue 4 "Hallucinations" is mitigated by a system of specifications and quality checks.
  • Issue 5 "History Access Unavailable" may be by design; manual intervention is required.
  • Issue 6 "Quality Variability" is effectively handled by switching early.
  • Issue 7 "Sandbox Clear" is prevented by regular saving to AI Drive.

Effective Ways to Work with AI Tools: 3 Principles

1. Accept "Imperfection"
AI tools are not perfect. Proceeding with the understanding that forgetting, making mistakes, and getting stuck are "normal" will significantly reduce stress.

2. Thoroughly Implement a "Preventive Approach"
Establishing mechanisms such as specifications, UML design diagrams, accumulation of conversation history, and quality check workflows, which ensure "it won't be a problem even if forgotten," is key to long-term productivity improvement.

3. Maintain "Flexible Responses"
It's important not to stick to one method but to be flexible and try different approaches when problems arise. Having multiple tools at your disposal, such as chat migration, manual saving, and using alternative tools in conjunction, is crucial.

Future Outlook

Genspark is continuously improving its features. Many of the problems reported on the official website and in communities may be resolved in the future.

Improvements to Look Forward To:

  • Expansion of context window (to retain memory of long conversations)
  • Automatic detection and recovery from Thinking loops
  • Improved transparency of session management (e.g., notification of permission expiry)
  • Stabilization of agent quality
Note: The countermeasures introduced in this article do not guarantee a 100% solution. Please choose the appropriate method depending on the situation.

Genspark is a useful tool, but it does have issues. By understanding these issues, setting up preventive measures, and responding flexibly, you can use AI tools more comfortably and productively.

I hope this information is helpful to those facing similar issues.

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