Agents that make life easier for everyone

The old way of building ecommerce solutions held us back. We ourselves struggled to build ecommerce solutions in the past. We had to build an ecommerce app, a website, and a tablet app, and test them separately. It was a nightmare.

We do not want other businesses to face this nightmare. We want building, testing, and deploying ecommerce solutions to be effortless. We want to reduce the time from building an ecommerce store to selling ecommerce products.

That is why we are building an Agentic Commerce Infrastructure for ecommerce businesses at AFCP AI. Using our platform, businesses can launch and deploy a shopper agent that their customers can trust. The shopper agent can help customers shop safely and seamlessly, just like a friend. AFCP AI leverages efficient agents to foster human-AI collaboration in a sustainable manner for ecommerce businesses and consumers alike.

Agentic shopping, which includes agents collaborating with each other, agents handling all repetitive shopping tasks, and shopping over voice, will become the common approach customers use to shop online. Agents will synchronize the world of commerce, becoming almost like electricity.

Our platform's goal is to be the largest provider of agents for commerce. These agents are seamless to integrate and provide immense value to businesses, consumers, and partners.

The time is ripe. The world is heading towards agent-driven experiences, and this transformation is happening now. It is an exciting time to be alive and to help bring it about. If you want to work on the transformation itself rather than watch it happen, this is the place to do it.

The current internet is slow, fragmented and a big mess. Problems with identity, security and governance remain largely unsolved. To understand where we are going, it helps to trace where we have been.

During the early computing revolution, computers solved concrete, bounded problems: typing, reading, doing math. This was followed by the gaming revolution, where people began experiencing more on computers, not just doing. We are now in the AI revolution, and we believe this revolution is fundamentally about agents.

The world will look very different with agents in the picture. Agents must be reliable, affordable and scalable. To get there, we must use the old internet (Web1, Web2 and Web3) as the backbone, but build an agentic layer on top for the experiencing part. Consumers and businesses can then interact directly with agents through voice, text or video.

Transforming the internet into an agentic internet, and commerce into agentic commerce, is a hard challenge. It is also the challenge that defines this era.

We are a modern day foundational platform for agents on the internet

Reimagining the old internet as an agentic one means solving five foundational requirements:

• 1
  Accessibility of agents. Agents must be reachable by anyone, anywhere, across every device and channel.
• 2
  Identity of agents. Every agent must have a verifiable, trustworthy identity so people know who they are dealing with.
• 3
  Security and privacy of agents. Interactions must be safe, data must be protected, and agents must not become vectors for harm.
• 4
  Control back to consumers. Agents must empower people, not extract from them. Consumers must remain in charge of their own data and decisions.
• 5
  Trustworthiness of agents. Agents must behave honestly, transparently and predictably. A trustworthy agent earns repeated use; an untrustworthy one destroys the relationship in a single interaction.

Tim Berners-Lee envisioned an internet where consumers had complete control over their rights on data. Building an agentic internet with blockchain technologies can move us closer to that path, and that is the direction we are building towards.

We believe the world needs Efficient AI: AI that is like electricity, scalable, affordable and reliable. We must build AI that consumes fewer chips, compute and energy. Experiential AI can help us get there, by helping us deploy agents which are efficient for the world.

Compute and energy costs are rising, making LLMs unsuitable for efficient scaling in the long run. This means a new hybrid AI architecture is needed for efficiently carrying out thinking, planning, reasoning or acting.

This is akin to the DC distribution crisis of electricity. AI that is built in an LLM-first approach is analogous to DC.

We do not need electricity (AI) based on DC (LLM-first paradigm). We need AC, an efficient agent-first approach. Efficient AI can help us deploy AC-like agents for the world.

Efficient and affordable AI is a challenging engineering problem, and it is one we intend to solve.

For this foundation to exist, we need an efficient agentic architecture that does not rely heavily on models. These are the hard problems we are working on:

• 1
  Models cannot scale with the real world. They lack continual learning and memory. We can solve this by building agents that continually learn, improve and perform intelligent decisions and actions.
• 2
  Generative AI is using a lot of training and inference compute. This is not needed. We can reduce this by 10x by implementing better strategies to build AI agents that can scale. We aim to consume 10x less infrastructure, compute and energy when compared with models.
• 3
  An agentic paradigm is simple. It consumes less energy, less compute and less capital, learns by experience continually, can be governed, and is safe and reliable. It considers the human brain as the standard for building AI. We also believe agents can be decentralized and democratized rather than centralized.
• 4
  This new paradigm also needs clean, white-labelled data from ecommerce data providers. This data can help us build a reliable agent that customers can trust.
• 5
  The new approach is a type of Experiential AI, not Generative AI. The architecture can be hybrid and use components of Generative AI, but without being restricted to it.
• 6
  As the world will run on agents, it will be agents that drive future customer experiences. We call such experiences as agent-driven experiences (ADEs). With ADEs, businesses will no longer have to build multi-platform solutions. They would just need to build agents with us.

We believe that AI agents need to serve humanity rather than humanity serving the former. For this, we need to think about what we are safeguarding for humanity if agents become a standard of digital interaction. Aspects like human freedom, expression, communication, creativity, data, identity, safety, value, privacy and trust are paramount to safeguard.

Agent reliability, safety, security and ethics are among the biggest issues in AI today, and tech companies are pushing for controls and regulations around AI safety and reliability.

We believe that AI regulation needs to be at a company and at an entity level. The pre-agentic internet worked on such premises where organizations and people who built apps and websites were safe to test and release them.

This means every company building AI agents needs to strive for reliability, safety, affordability and sustainability.

In the future, most of digital technology will be accessed by agents. We do not see a world where models are the entry point for such agents that they would need regulation. We rather think of different forms of agents which are model centric, model independent or even a hybrid.

What happens to a world where AI agents need strict regulation? If any strict regulation happens for agents, this might impede development and progress. Instead we need to develop agentic protocols and agentic standards. This is what we aim to build for the new agentic-internet.

We believe in freedom and no tech company must have the power to dictate AI and AI Agent safety. Rather it must be a collaborative effort i.e. an Open Standard just like the pre-agentic internet. Why can't an enterprise, a business, or a customer of such a business have that power and control over their agents, so they get safe, reliable and secure agents?

That is the problem we are solving. We want agents to be safe, ethical, reliable and secure, with control placed in the hands of the businesses and customers who depend on them.

The agents we build help businesses, their customers and humanity at large fulfill their lives' purposes. This means creating more time to do things they love rather than focus on the mundance. These agents bring abundance, joy, peace and delight in their lives.

We are building AI agents that deliver on outcomes for businesses and their customers. We do not charge for just using tokens, but are more concerned about delivering real sustainable value and ROI to businesses, customers and consumers.

We are making AI affordable and efficient via our agents to deliver sustainable value to businesses and their customers. Getting there is an exciting and challenging problem, and it needs the right people to solve it.

We at AFCP AI are working on a new approach for building our Agentic commerce infrastructure based on Experiential AI.

The last revolution was Generative AI. The new agentic future needs an Experiential AI revolution. Building agents from an Experiential AI standpoint will be more relevant since consumers and businesses like to experience more. Experiential AI is all about building human-first, collaborative and self-learning agents for the world. It is the way to build agents that are reliable, affordable and scalable.

Experiential AI uses shopper agents that are not only active helpers for consumers but also interactive and fun to be with. Our shopper agents can make corrections in case a mistake happened, continuously learning with the aid of human intervention and therefore becoming self-adaptive.