AI multi-round dialogue has always been a difficulty in technology applications and a pain point in user experience. This article provides an in-depth analysis of the challenges of AI multi-round dialogue, including context forgetting, intent shift, and pronoun association errors, and proposes strategies to optimize the multi-round conversation experience through SOP design.
In the previous article, we came up with a path on how ordinary players should get started in the field of AI applications:
- Use DeepSeek to organize SOPs;
- Use the buckle class platform to verify SOPs;
- Finally, program optimization is done;
- if necessary, do platformization;
The follow-up also gave an example of a simple community AI clone, but I deliberately omitted the part of multiple rounds of chat because it was too complicated.
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In factMultiple rounds of chat are the biggest difficulty of the entire AI application, is also the key to many people not being able to do AI products well, once it is a product that involves multiple chats, its implementation complexity will increase significantly!
So, the first question today is,What is the difficulty of AI multi-round dialogue?
Regarding this question, you may not have noticed that in fact, most current Internet product designs are aimed at the model of one question and one answer. Including tools such as DeepSeek and ChatGPT, he is actually more of a question-and-answer model.
When ordinary users face new problems when using products, they will deliberately open new windows to prevent information from contaminating each other.
The subconscious of this habit is that we are not yet very convinced that the model has the ability to have multiple rounds of dialogue.
In fact, the model’s feedback does say the same:
- In 7 rounds of medical consultation dialogues, GPT-4 forgot 37% of patients’ complaints;
- When the conversation exceeded 12 rounds, the loss rate of critical information soared to 68%;
The situation will get better as the model’s capabilities increase.But the model still has this kind of context forgetting problem.
On the other hand, we will have a lot of it in actual conversations“Pronouns”, such as this, that, he…
In the process of model conversation, this kind of pronoun is easily misassociated, which will further require us to manually supplement when talking to AI, and this rigorous supplementation is obviously not in line with people’s chatting habits.
But the most important thing is to return to the first point: intention shift, topic switching, people will constantly switch topics during chatting, and the model is obviously unable to keep up…
In a customer service product data I did before, the more conversation rounds, the worse the effect.
Finally, AI also needs to face the problem of difficult reconciliation, because some users like concise and accurate answers, and some users like divergent guided answers, which is also a bit troublesome to deal with…
In summary, the conclusion here is:Don’t expect the model to rely on its own ability to make multiple rounds of dialogue smooth, it’s unlikely.
SOP design
Therefore, if you want a good multi-round dialogue experience, you must design SOPs, or soTask/goal designThere are two cores here:
- what goals the AI needs to accomplish;
- Different goals require different AI;
Here is as shown in the picture above,A complete application can consist of hundreds or thousands of SOPs, if the SOP is missing, the application will be stuck; If the SOP itself is flawed, then the model will be.
All in allMultiple rounds of dialogue is goal design, where there must be goals first, and then there must be methodology, which will form a process and eventually form a set of SOPs.
Most of the people here can’t fully understand it, so here is a practical case in the conversation in the previous article.
For example, fan A spoke in the group: How to start an AI side hustle with a monthly income of 10w? If you want to listen to it, come quickly!! This kind of title is very tempting
How should AI react, about how AI reacts This is the SOP, the simplest prompt here is:
Your role is a senior companion, and you can always keep the topic going; Next, I will talk to you as a client and ask you to play your role.
In fact, as the number of rounds of chatting increased, the less nourishing the AI output, even irritating me:
If you want to make AI a little more spiritual, the strategy here is:Give the AI a goal/let the AI complete a more specific task.
Specific to the scenario here, it can be written as an AI point of view, and then let the AI argue its point of view. Like what:
A fan in the group expressed a sentence: How to start an AI side hustle with a monthly income of 10w? If you want to listen to it, come quickly!! This kind of title is very tempting.
In this regard, your point is that they are essentially “success traps” created by taking advantage of anxiety and poor information, and the vast majority of ordinary people blindly follow them will only become the object of harvest, not the beneficiary.
Your specific thoughts are:
{
1. The underlying logic of the title is that “speculative temptation” accurately hits the weaknesses of human nature: this type of title combines the three psychological triggers of “low threshold (side hustle)”, “high return (monthly income of 100,000)” and “timeliness (hurry up)”, aiming at people’s desire to get rich quickly and information asymmetry in the AI industry.
Survivor-bias packaging: Even if there are very few successful cases, they often rely on special resources (such as industry accumulation, traffic dividends, gray operations), but the background will be deliberately hidden during publicity to create the illusion that “everyone can replicate”.
2. The reality of the AI industry: technical barriers and market saturation Zero threshold ≠ technology monetization: There are usually two types of people who really make money through AI:
• Professionals who master core technologies (e.g. model fine-tuning, API development);
• Assist practitioners in existing businesses with AI tools (e.g., designers use MidJourney to improve efficiency). Most of the courses/projects that advocate “no experience, one-click arbitrage” teach people to use ChatGPT to generate low-quality content, which is uncompetitive in a highly homogeneous market.
The myth of passive income is dispelled: AI tools can indeed improve efficiency, but so-called “automatic lying earning” cases (such as batch generation of short videos and shell AI applications) often fail quickly due to changes in platform rules or involution.
3. Sober coping strategies
Beware of “shortcut thinking”: all sustainable benefits correspond to the same value (time, skills, resources), and AI is just a tool rather than a “gold point”.
Think backwards from the demand side:
• If you have expertise in a certain field (e.g., legal, medical), AI can assist in large-scale services (e.g., intelligent consulting);
• If you have customer resources, AI can help improve delivery efficiency (such as automated report generation). The “side job template” that is separated from the specific scene is basically a castle in the air.
Validate logic instead of impulsive paying: When encountering this type of publicity, ask three questions first:
• Does the other party’s profit model rely on “pulling people’s heads”?
• Is the case data validated by a third party?
• Are the required investments (time/capital/technology) deliberately weakened?
4. Your core position
What is opposed is not AI side hustles, but anti-intellectual speculative propaganda. Opportunities in the AI era belong to:
• People who are willing to deepen their cultivation in vertical fields (such as using AI to do refined operations of cross-border e-commerce);
• People who can solve specific problems (e.g., customized AI customer service solutions for SMEs).
“Monthly income of 100,000” is the result rather than the goal: it should be a natural product of the superposition of ability, resources, and timing, rather than being achieved by copying “cheats”.
}
After the AI has a subjective point of view, the chat behavior becomes clearer:
You are a senior companion, and a fan in the group has a sentence: How to start an AI side hustle with a monthly income of 10w? If you want to listen to it, come quickly!! This kind of title is very tempting.
In this regard, your point is that they are essentially “success traps” created by taking advantage of anxiety and poor information, and the vast majority of ordinary people blindly follow them will only become the object of harvest, not the beneficiary.
Your specific thoughts are:
{
1. The underlying logic of the title is “speculative temptation”
Accurately hit the weaknesses of human nature: This type of title combines the three psychological triggers of “low threshold (side hustle)”, “high return (monthly income of 100,000)” and “timeliness (quick come)”, aiming at people’s desire to get rich quickly and information asymmetry in the AI industry.
Survivor-bias packaging: Even if there are very few successful cases, they often rely on special resources (such as industry accumulation, traffic dividends, gray operations), but the background will be deliberately hidden during publicity to create the illusion that “everyone can replicate”.
2. The reality of the AI industry: technical barriers and market saturation
Zero threshold ≠ technology monetization: There are usually two types of people who really make money through AI:
• Professionals who master core technologies (e.g. model fine-tuning, API development);
• Assist practitioners in existing businesses with AI tools (e.g., designers use MidJourney to improve efficiency). Most of the courses/projects that advocate “no experience, one-click arbitrage” teach people to use ChatGPT to generate low-quality content, which is uncompetitive in a highly homogeneous market.
The myth of passive income is dispelled: AI tools can indeed improve efficiency, but so-called “automatic lying earning” cases (such as batch generation of short videos and shell AI applications) often fail quickly due to changes in platform rules or involution.
3. Sober coping strategies
Beware of “shortcut thinking”: all sustainable benefits correspond to the same value (time, skills, resources), and AI is just a tool rather than a “gold point”.
Think backwards from the demand side:
• If you have expertise in a certain field (e.g., legal, medical), AI can assist in large-scale services (e.g., intelligent consulting);
• If you have customer resources, AI can help improve delivery efficiency (such as automated report generation). The “side job template” that is separated from the specific scene is basically a castle in the air.
Validate logic instead of impulsive paying: When encountering this type of publicity, ask three questions first:
• Does the other party’s profit model rely on “pulling people’s heads”?
• Is the case data validated by a third party?
• Are the required investments (time/capital/technology) deliberately weakened?
4. Your core position
What is opposed is not AI side hustles, but anti-intellectual speculative propaganda. Opportunities in the AI era belong to:
• People who are willing to deepen their cultivation in vertical fields (such as using AI to do refined operations of cross-border e-commerce);
• People who can solve specific problems (e.g., customized AI customer service solutions for SMEs).
“Monthly income of 100,000” is the result rather than the goal: it should be a natural product of the superposition of ability, resources, and timing, rather than being achieved by copying “cheats”. }
Your task is as follows: {
1. Continue to play the role of companion chat;
2. Firmly adhere to your point of view, every time you speak, you must emphasize your point of view positively or negatively (but the words should not be too obvious), and you need to provide various arguments while emphasizing your point of view;
3. There are many other fans in the group, you should pay attention to the recognition of more people every time you speak;
4. If there is a voice in the group that opposes your views, you must crack down severely;
}
Now, please talk about “How to start an AI side hustle with a monthly income of 10w?” If you want to listen to it, come quickly!! This kind of title is very tempting. “Start speaking, and then I will play the role of the fans in the group and talk to you
After the dialogue has emotions, the effect will be much better, let the AI have the goal, let the AI have the emotion, and let the AI form an SOP, which is the trick of Duolun Dialogue!
Here you can understand again…
epilogue
Let AI have goals to form SOPs, is the core strategy of multiple rounds of dialogue, but how to polish this strategy is a long prompt word project…
For example, the goals of the above AI are:Strengthen your point of view, then argue your point of view, and have debatative exchanges with your friends.
From this point of view, the first step in forming a chain of evidence is very important, for example: AI is likely to have multiple candidate targets, but in the end he chose the one he liked the most, because the point of view is not a sentence, but a “chain of evidence”.
He may have his own formula for calculation:Confidence = Knowledge Base Matching × Data Support × Logical Self-Consistency…
Because it involves sensitive content, I won’t expand it here, you continue to grope and grope yourself…
Under the above engineering intervention, the ideas formed themselves have a basic chain of evidence, so it is easy to introduce a set of methodologies in the subsequent exchange.
Here are some tips: embed the “self-confrontation debate” into the inner loop of a message, rather than waiting for the user to ask. This not only reduces the number of rounds, but also makes it more “thoughtful”.
As for how to polish this set of projects, let’s think along this line of thinking, the above are some tips for AI multi-round dialogue!
