Edit vision doc

src/app/vision/page.mdx

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 ## Empowering a New Era with AI Agents
 
-**AI agents**, also known as **Large Action Models**, are an emerging technology set to revolutionize industries by automating tasks traditionally performed by humans. These advanced artificial intelligence models comprehend and execute complex tasks by translating human intentions into actionable steps. The rapid growth in the size and capabilities of AI models, coupled with advancements in their reasoning abilities, positions them as ideal candidates for automating intricate tasks previously achievable only by humans.
+**AI agents**, also known as **Large Action Models**, are an emerging technology set to revolutionize industries by automating tasks traditionally performed by humans. These advanced artificial intelligence models comprehend and execute complex tasks by translating human intentions into actionable steps. The rapid growth in the size and capabilities of AI models, coupled with advancements in their reasoning abilities, positions them as ideal candidates for automating sophisticated tasks previously achievable only by humans.
 
 ## Bridging the Gap Between Understanding and Action
 
@@ -18,13 +18,13 @@ While Large Language Models (LLMs) excel at understanding and generating context
 - **Action Translation**: Converting each step of the plan into actionable formats (e.g., API calls or web actions).
 - **Execution and Confirmation**: Carrying out actions and providing fulfillment receipts.
 
-AI agents may collaborate with other agents and interact with external services to effectively retrieve information and execute actions.
+AI agents may collaborate with other agents and human experts and interact with external services to effectively retrieve information and execute actions.
 
 ## Overcoming Challenges in a Human-Optimized Digital World
 
 A significant challenge in designing AI agents is that the internet and digital systems are optimized for human interactions. AI agents do not share the same limitations as humans and may find human-centric user experiences (UX) restrictive, potentially hindering their performance.
 
-For example, current authentication systems—using usernames, passwords, push notifications, or biometric factors—are tailored for humans who may struggle to remember complex authentication keys. These methods can be cumbersome for AI agents. In contrast, key-based authentication utilizing Public Key Infrastructure (PKI) signatures or other cryptographic algorithms is effortless for AI agents, which are not constrained by human memory limitations and can leverage computational efficiency.
+For example, current authentication systems—using usernames, passwords, push notifications, or biometric factors—are tailored for humans who may struggle to remember complex authentication keys. These methods can be less efficient for AI agents. In contrast, key-based authentication utilizing Public Key Infrastructure (PKI) signatures or other cryptographic algorithms is effortless for AI agents, which are not constrained by human memory limitations and can efficiently perform the required cryptographic computations.
 
 Similarly, traditional digital payment mechanisms like credit cards are designed for human usability. Digital-native payment systems based on advanced cryptographic digital wallets and blockchain technology offer more secure and efficient payment rails suitable for AI agents.
 
@@ -46,7 +46,7 @@ While the current internet user experience (UX) is optimized for humans, AI agen
 
 ## Solution
 
-A set of emerging technologies has come together to enable us to offer a robust solution for scalable AI agent economies. These technologies include:
+A set of emerging technologies has come together whoch can enable us to offer a robust solution for scalable AI agent economies. These technologies include:
 
 - **Portable, verifiable identities**
 - **Blockchain, stablecoins, and crypto digital wallets**
@@ -59,7 +59,7 @@ Tesser allows users to provide their AI agents with portable identities using an
 
 Tesser also provides the agents with an integrated secure digital wallet that users can fund with a specific budget, allowing their AI agents to use it for online digital payments.
 
-Additionally, Tesser provides an AI agent memory layer using an encrypted vectorized database to let users manage their agents' memory. Users are fully in control of their AI agents' memory and can authorize their agents' access based on each agent's identity by issuing or revoking proper verifiable credentials for each agent.
+Additionally, Tesser provides an AI agent memory layer using encrypted vector databases to let users manage their agents' memory. Users are fully in control of their AI agents' memory and can authorize their agents' access based on each agent's identity by issuing or revoking proper verifiable credentials for each agent.
 
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