November 25, 2025
Here is something most people do not realize: every message you send to ChatGPT, Claude, or Gemini includes the ENTIRE conversation history. The AI reads everything you have said before generating a response.
This means one thing: garbage context produces garbage output.
If the AI hallucinated something three messages ago, that hallucination is now part of your context. If you went off on a tangent, that tangent is polluting every future response. If the AI misunderstood your intent, it keeps misunderstanding.
The solution is obvious: edit the conversation history. Fix the hallucinations. Remove the tangents. Correct the misunderstandings.
But ChatGPT and Claude will not let you do this. Their interfaces treat conversation history as sacred, immutable text. You are stuck with whatever happened.
Why Context Management Is the Real Power Move
Think about how you actually use AI:
- You ask something
- AI responds (maybe not perfectly)
- You clarify
- AI responds again
- Repeat until you get what you need
By message 10, your context is a mess. Half of it is irrelevant clarifications. Some of it contains AI hallucinations that you corrected later. The AI is now working with polluted context, and you are wondering why the responses are getting worse.
The fix is not to start over. The fix is to edit the context.
With Cumbersome, you can:
- Edit any message (yours or the AI's) to fix mistakes
- Delete irrelevant messages that pollute context
- Switch models mid-conversation for different tasks
- Use Face/Off Mode to A/B test different approaches
This is not a nice-to-have feature. This is how you actually steer AI output toward what you need.

Long-press any message to edit it. Fix hallucinations, clean up context, refine your prompts. ChatGPT treats your history as read-only. We treat it as a working document.
Editing Prior Messages: Fix Hallucinations in Place
Here is a scenario you have definitely experienced:
You ask the AI to write something. It produces a response with a factual error or a weird assumption. You correct it in your next message. The AI apologizes and fixes it.
But the original hallucination is still in your context. Every future response is generated with that hallucination sitting there. The AI might reference it again. At minimum, it is wasting tokens and adding noise.
In Cumbersome, you just edit the AI's response directly. Remove the hallucination. Fix the error. Now your context is clean, and future responses are generated from accurate information.
This is especially powerful when you are iterating on a document:
- AI drafts something
- You edit the draft inline (not in a new message)
- AI's next response builds on your edited version
- Repeat until perfect
You are not fighting the AI's memory of its own mistakes. You are correcting the record and moving forward.
Deleting Irrelevant Context: Less Is More
Sometimes the best edit is deletion.
You went down a rabbit hole. Asked about something tangential. Got a long response about something you no longer care about. That is all sitting in your context now, eating tokens and potentially confusing the AI.
In Cumbersome, you can delete messages entirely. Remove the tangent. Keep only what matters. Your context stays focused, and the AI stays on track.
This is particularly useful for long conversations. By message 20 or 30, you have probably accumulated a lot of noise. Pruning that noise keeps your responses sharp.

Real workspace, not a messaging app. See your full conversation, edit inline, delete what does not matter. This is what professional AI tools should look like.
Switching Models Mid-Conversation: Right Tool for Each Task
Different models excel at different things:
- GPT-5 is strong at creative writing and complex reasoning
- Claude Sonnet 4.5 excels at analysis and nuanced understanding
- Gemini 2.5 Pro handles long context and multimodal tasks well
Why lock yourself into one model for an entire conversation?
In Cumbersome, you can switch models mid-conversation. Start with Claude for research and analysis. Switch to GPT-5 for creative output. Use Gemini for summarizing long documents.
The conversation context carries over. You are not starting from scratch. You are using the right tool for each phase of your work.

Every model from OpenAI, Anthropic, and Google. Switch mid-conversation. Use the right model for each task. No artificial restrictions.
Face/Off Mode: A/B Test Your Approaches
Sometimes you are not sure which direction to take. You could ask the AI to be more creative. Or more conservative. Or take a completely different approach.
Face/Off Mode lets you test all three simultaneously:
- Your message generates three responses with different creativity levels
- An AI judge evaluates all three
- The best one wins, with an explanation of why
This is context management at the response level. Instead of committing to one approach and hoping it works, you see multiple options and pick the best one before it becomes part of your context.

Three responses generated simultaneously. AI picks the winner. You get the best answer on the first try, not after manual retries.
The Real Workflow: Iterative Refinement
Here is how power users actually work with AI:
- Start with a prompt that gets you in the ballpark
- Review the response for errors, hallucinations, or missed intent
- Edit the response to fix issues (not just comment on them)
- Delete tangents that accumulated along the way
- Switch models when the task changes
- Use Face/Off when you need the best possible output
This is iterative refinement. You are not just prompting and hoping. You are actively managing context to steer the AI toward exactly what you need.
ChatGPT and Claude do not support this workflow. They treat conversation history as immutable. You are stuck with whatever happened, forced to work around mistakes instead of fixing them.
Why Consumer Apps Will Never Build This
ChatGPT, Claude, and Gemini are built for engagement metrics. They want you to send more messages, stay in the app longer, feel like you are getting value from your subscription.
Editing context reduces message count. Deleting messages reduces engagement. Switching models mid-conversation complicates their analytics.
These features make YOU more productive, but they make their metrics look worse. So they will never build them.
Pay-per-use pricing aligns incentives differently. We want you to get results efficiently, even if that means fewer messages. Context management makes sense when you are paying per token, not per month.
Get Started With Context Management
Cumbersome is free for iPhone, iPad, and Mac. You bring your own API keys and pay the providers directly.
Every feature mentioned here is built in:
- Edit any message (yours or the AI's)
- Delete messages to clean up context
- Switch models mid-conversation
- Face/Off Mode for A/B testing responses
- Full parameter control for fine-tuning
Stop fighting your conversation history. Start managing it.
Bless up! 🙏✨