Standard AI models are limited by their static training data and manual prompting friction. To stay ahead, you need a system—an AI workflow that handles data retrieval, analysis, and execution 24/7. In this article, we explain how to build a robust "AI Analyst" system, compare Prompt vs. Workflow generators, and show you how to leverage platforms like ASCN.AI to integrate real-time on-chain data and news into your automated pipeline—all without writing code.
An "AI Prompt Generation Workflow" may seem complicated but is essentially a system to generate and automate anything related to prompting Neural Networks. Instead of creating new ways to ask your AI for anything logical every time, you develop a structured series of tasks that is executed automatically.
You are able to think of it as a Wall Street Analyst that is now residing in your Telegram app. Within 10 seconds, this Analyst will have retrieved information from 12 various sources, understood what is occurring on-chain, reviewed news, exchanged metrics and provided you with an overall view of your decision-making ability. You no longer have to piece together all of the chaos in the world wide web. This is what we consider an "AI prompt generation workflow." You take all the chaos and disorganization and create a well-designed, automated workflow and you no longer have to expend time on it.
What does an AI prompt generation workflow look like? There are nodes and blocks that represent a chain. Each block performs a function independently; it will receive, analyze, log, and send data. At the beginning of the chain, there will always be a new message to your Telegram, and from that message, the first node is determining the contact, the next node has identified the request and is passing it to the AI for analysis, which in turn sends the response to your Customer Relationship Management (CRM) application, which ultimately will be sent to the individual that requested the information. All of the work occurs in a matter of seconds, and it eliminates the need for you to periodically check for responses.
One primary difference between an AI prompt generation workflow and traditional neural networks is that with an AI prompt generation workflow, you are not simply asking a single question. Instead, you are designing templates to run repeatedly across hundreds of requests, without affecting quality. As part of our ASCN.AI project, we have already been able to confirm: deep analysis of tokenomics and real-time monitoring of whales has been successfully implemented.

A Prompt Generator is essentially a method to take less specific ideas and turn those into concise requests for Language Models. Rather than having to spend time thinking about how to ask questions correctly every time, it allows users to rely on created templates instead. This predictability will reduce variability in responses in a team environment, save time and decrease error rates.
Ordinary networks such as ChatGPT and GPT-4 are not capable of providing accurate results due to their dependence on how the user asked their request. Additionally, the knowledge of these networks is limited to specific dates and doesn't include private databases or real-time on-chain information. These networks can only retell what they've already found within public sources.
Specialized Prompt Generators allow users to:
The main advantages of using a Prompt Generator include:
Example: ASCN.AI has clients who receive weekly structured reports about 15 tokens, which highlights anomalies and key news in just five minutes. This was previously a one-hour task. The outcome is enhanced analysis accuracy and reduced chances of human error.
You'll agree this is at a different level. Gartner (2024) shows that companies that have implemented prompt generation have been able to decrease analytics costs by 35–40% and speed up the decision-making process by 50–60%. For the highly volatile cryptocurrency markets, this is especially crucial.

A workflow generator is a business-process automation "assembly-line" platform which lets you create a series of automated actions that are defined as a "chain" made using pre-built blocks, known as "nodes." There is no need for coding! You visually connect your activities, set the sequential order of your processes, and hit the "go" button. You also determine the function of each node block (i.e., receive data, process data, determine what should happen next, and produce an output).
What makes this more interesting is the use of artificial intelligence (AI) agents that can read and understand natural language, analyze a context, and make decisions based on probabilistic models. AI Workflow Generators are more flexible and smarter than traditional automation platforms, such as Zapier or IFTTT, where rules typically follow a rigid structure.
AI Workflows Examples:
According to Forrester Research (2023), the use of AI-based workflows has reduced routine tasks by 40–60%. This frees up 30% of the time of employees from repetitive tasks, allowing them to perform tasks that are considered strategic or important.
ASCN.AI claims that using their prompt templates will increase response accuracy by 92%, based on data collected during the company's internal research on the effectiveness of the product.
Similar to an AI Prompt Generator, a Workflow Generator creates and optimizes text-based requests to be used with a Language Model (LLM). The difference is that Workflow Generators use multiple tools to automate the execution of complex business processes.
| Parameter | AI Prompt Generator | Workflow Generator |
|---|---|---|
| Primary Task | Creating and optimizing text requests for LLMs | Automating complex business processes and tools |
| Unit of Work | Single prompt (request → response) | Chain of nodes (trigger → action → result) |
| Setup Complexity | Low — text editing | Medium/high — visual assembly and configuration |
| Reusability | Prompt templates for typical tasks | Ready workflows for end-to-end processes |
| Data Integration | Limited, platform-dependent | APIs, databases, blockchain nodes, messengers |
| Automation Type | One-to-one (single prompt) | Continuous or trigger-based execution |
| Typical Tasks | Analysis, content generation, classification | Monitoring, reporting, support, personalization |
| Entry Barrier | Low | Low to high (depending on complexity) |
| Cost | $0 to $50/month | $29 to $500+/month |
| Scalability | Moderate | High |
| Examples | PromptBase, PromptPerfect, Wordtune | ASCN.AI NoCode, Zapier, Make, n8n, LangChain |
An example of how a trader may utilize both: a trader may generate an accurate prompt for analyzing their portfolio and integrate that prompt into a Workflow Generator to create a daily portfolio-monitoring workflow that provides the trader with notifications. This provides a trader with the ability to process numerous tokens with minimal human interaction, which enhances efficiency and maximizes profitability.
ASCN.AI integrates the functionalities of both AI Prompt Generators and Workflow Generators by providing users with a library of 200+ readily available AI Prompt Generator templates and a no-code Workflow Generator that enables users to access the unique data that is available through Web3 technologies.
To determine how much time and money can be saved when using either AI Prompt Generators or Workflow Generators, we have developed an interactive calculator for customers to use. Input your number of daily tasks, amount of time spent completing those tasks manually, amount of money spent on hourly work, and number of days worked during each week to generate a calculation of likely profit generated by adopting an automated prompt/service generation model.
Based on the input information, you will be provided with:
How does ASCN.AI differ from Universal AIs, such as Chat/Video Conferencing type AIs?
Universal AIs read and work on only publicly available information, whereas ASCN.AI operates on all data relating to Ethereum and Solana blockchains as well as exchanges, Telegram, analytics platforms, etc., which gives ASCN.AI an advantage since it is working with live (real-time) information. Therefore, ASCN.AI can provide the correct and best information at the right time.
Do you need to have programming skills to set up and utilize the AI agents?
No programming skills are needed to set up or utilize ASCN.AI. ASCN.AI NoCode allows for visual creation of workflows via a drag-and-drop interface. Users who want to can open JSON editors, but this option is not required.
Costs and ROI?
The basic tariff is $29/month. You have access to 200+ templates, AI agents and Web3 integrations. The time saved and risk reduced will provide a return on investment of thousands of percent.
How fast to launch?
Using the ready-made templates will take 5–10 minutes. Creating a custom workflow will take approximately 30 minutes. There is detailed documentation and tutorials.
Is my data secure?
Data is stored anonymously and securely. User secrets are stored in encrypted vaults, and cannot be used without the user's consent.
If there are errors within the workflow how do I resolve this?
Look through logs, adjust prompts, and contact tech support to quickly diagnose and resolve the problem.
Is there support available for algorithmic trading?
The workflow creates signals and alerts for the user to make trade decisions.
Can a workflow integrate with my CRM and other services?
A workflow can be linked with any system using either HTTP requests or API; corporate customers can have access via white-label solutions.
Is there a token?
ASCN.AI is a Software as a Service (SaaS) business and does not have a token or an initial coin offering (ICO).
The standard internet search and traditional algorithm solutions cannot keep pace with the speed and volume of trading activity that today's traders face.
AI Workflow and Prompt Generators allow volumetric access to Web3 and exclusive online data analytics, providing rapid response times to market conditions.
For traders and analysts alike, time is the most valuable asset; therefore, every minute counts and losses add up quickly.
To maximize the benefits of automation, ensure that you create workflows that are based on clearly defined Key Performance Indicators (KPIs). This will allow you to determine if you are achieving your intended results.
