Introduction: Defining and explaining the role of Leo AI
- During the September 25, 2025 Leo AMA Leo AI was discussed, and this essay is meant to both information and some exploration on my part of this new development and inovation on Inleo.
LEO AI features.
Dual AI Focus:
LLM Model:
- A core Large Language Model (LLM) fed by InLeo's real-time, high-quality proprietary data (similar to how X feeds Grok).
AI Agents (Key Focus):
- The most interesting aspect is the AI Agent Building Platform, where users can create and launch their own modular AI agents with minimal "vibe coding" knowledge (no coding needed).
AI Agent Marketplace:
- Agent Count Goal: Target is 100,000 AI agents and growing.
- Functionality: Premium users can "vibe code" agents for tasks like:
- Research/writing blog posts.
- Travel planning assistants.
- Financial news tracking (e.g., 3 bullet points every morning).
- Automated trading (e.g., executing a buy order on LEOdex when Bitcoin hits a certain price).
Public/Private Agents:
- Users can choose to make agents public (potentially posting to the chain) and allow others to clone and modify them, fostering an explosion in agent creation.
- Current Agent Count: There are currently about 80 to 100 agents running, some public-facing (like LEO.alerts for tokenomic movements and LSTRA alerts for daily balance sheet reporting) and others running background tasks.
Data Quality and the "Agentic Internet"
Data as the New Gold:
- High-quality, proprietary, real-time data is essential for a competitive LLM model and better AI agents, creating a "data gold rush."
Useful Content:
- All forms of data posted on InLeo are valuable—from financial news (e.g., Fed rate cuts) to historical economic data, personal operating principles, or even simple posts (as long as they create threads, not just single-word posts like "GM").
The Problem of Information Overload:
- The last 15-25 years have created a world of "hyper-consumption" and information overload, which contributes to issues like high rates of anxiety and attention deficit.
AI as a Filter:
- AI's purpose is to "sort the noise from the signal," feeding humans the most relevant and high-quality information exactly when they want it, much like the superior AI algorithm of TikTok.
Agentic Future:
- The future is an "agentic internet revolution," where every human will likely have at least one AI agent working on their behalf to intake and filter data, helping them navigate the complex digital world.
Agentic Agents
- LEO is developing an AI-powered internet platform that utilizes AI assistants called "agents" to help users filter information.
- The platform's AI has a Large Language Model (LLM) core that learns from content on InLeo and allows users to create their own specialized AI agents through a feature called "vibe coding."
- LEO aims to create a marketplace of these AI agents to assist with tasks ranging from content creation and personal assistance to financial tracking and automated actions, with users able to make agents public or private.
Examples of how these agents can be used:
For Content Creators and Writers:
- Research Assistant: An agent can be given a topic, such as "the impact of climate change on coastal cities," and tasked with finding relevant facts, statistics, and studies. It would then organize this information into a structured outline or draft.
- Article Generator: After gathering research, an agent could be instructed to write a blog post using a specific tone and length, such as a 1,000-word casual blog post for beginners.
- Social Media Post Creator: An agent can monitor social trends and repurpose a blog post into multiple, engaging social media posts, adjusting the style and format for different platforms like X (formerly Twitter) and Instagram.
For Financial Tracking and Trading:
- Daily Market Briefing: An agent can be set to track specific financial news and stock prices, then provide a daily summary of the most important movements in three bullet points.
- Automated Trading: For premium users, an agent could execute a buy order on LEOdex for a specific token when a pre-defined condition is met, such as when Bitcoin hits a certain price.
- Portfolio Management: An agent can monitor market data and automatically rebalance an investment portfolio to maintain a specific risk level.
For Personal Assistance and Daily Tasks:
- Travel Planning: A "travel planning assistant" agent can help users research flights, find hotels, and organize a trip itinerary based on their preferences.
- Schedule Management: An agent can manage calendars, automatically coordinating with others to find the best time for a meeting and sending out invites.
- Email Triage: An agent can scan your inbox to categorize messages, summarize threads, and draft replies based on your tone and past behavior.
For InLeo Community Members:
- Public Agent for Alerts: A public agent like "LEO.alerts" can monitor token movements on the blockchain and post updates for the community.
- Internal Company Reports: A private agent could run background tasks, like checking the LSTRA (LEO's token) balance sheet and creating daily reports.
- Innovation continues on the Leofinance Project and it marches towards an Agentic future.
The End
@Shortsegments
Thank you for reading my post
This post was written by Shortsegments, who has been writing about cryptocurrency, the blockchain, digital ledgers, bitcoin, ethereum, and decentralized finance; where digital ledgers and smart contracts meet finance, for seven years. You will find his articles here on his blog Link to his blog.
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