Faster Development of AI Agents with API-First Infrastructure
Artificial intelligence has come a long way since the early chatbots. AI agents today can perform various functions such as answering emails, managing customer service requests, carrying out repetitive tasks, and interacting with different online services. However, while it is becoming easier to develop the intelligence behind such agents, the supporting infrastructure often requires a substantial amount of effort to design and implement.
Most often, developers need to design application programming interfaces (APIs), forms, email verification services, processing tools, spam filters, and other supporting systems before the AI agent can be released to production.
The Infrastructure Challenge
Let’s imagine a situation where we need to develop an AI-powered customer support platform.
Aside from the AI models themselves, we will need to design and implement the following:
• Accept and store customer requests
• Send confirmation emails
• Allow customers to reply to emails
• Verify replies
• Process and store the information
• Connect to other services and systems
• Automate various actions and events
As can be seen, there is quite a lot to do before we can even think about training our model.
The API-First Approach to AI Infrastructure
Instead of designing and implementing all of the aforementioned components, developers are now able to use various API-first platforms that provide a set of features through standardized endpoints. In this case, the main advantage is that developers can rely on standardized code rather than build their own tools and services. The benefits of such an approach include reduced time to market, less maintenance, easier implementation, reduced complexity, and increased scalability.
As a result, developers can focus on their primary goals instead of trying to reinvent the wheel every time they need to design an API.
An Example: the Infrastructure Provided by OllaStack
One such platform that provides essential API endpoints for AI application development is OLLA Stack (https://ollastack.com/). The tools described below can be implemented using the described platform.
• Headless forms
• Programmable mailboxes
• Sending and receiving email
• Workflow automator
• Email testing
• File upload management
• Submission management
Instead of building all of the components from scratch, developers can use existing standardized solutions. For example, the infrastructure described in the example above, can be built using several of the components provided by OLLA Stack.
Use Case: AI Infrastructure Workflow
To better understand the potential value of the described approach, let’s imagine a situation where an AI application needs to be built. One such example is an application that helps to process customer support requests.
The key steps that need to be taken include:
Accepting requests (forms)
Sending confirmation emails
Receiving and verifying replies
Processing and storing information
Sending the information to the appropriate mailboxes
Automating further steps based on the contents of the emails
As can be seen, most of these steps can be automated using the right tools. At the same time, most of them can be implemented using an API-first approach.
The Bottom Line
As can be seen, the infrastructure behind AI applications can be quite involved. At the same time, the use of standardized services and APIs can reduce the overall time to market and help to achieve better results.
For developers and companies alike, such an approach can help reduce the amount of time spent on development and allow them to focus on more important tasks. In particular, the described approach will help to reduce the amount of time spent on building and maintaining common components and allow developers to focus on building unique features. For startups and small companies, every extra hour in development translates into significant opportunities lost. As such, they should seriously consider the described approach and APIs such as those offered at OLLA Stack (https://ollastack.com/).
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