Market research is the bedrock of any successful business strategy. But let's be honest: it's a grind. The traditional process involves days, if not weeks, of painstaking data collection, sifting through articles, analyzing spreadsheets, and synthesizing findings into a coherent report. It’s slow, expensive, and by the time you're done, the market may have already shifted.
What if you could condense that entire workflow—from initial query to a fully formatted, insightful report—into a single command? What if you could delegate the entire task to an autonomous worker that operates 24/7?
This isn't science fiction. This is the power of an autonomous AI agent. Meet Lexi, your AI-powered agent designed to execute complex business tasks on your behalf. In this case study, we'll walk through how to leverage Lexi to perform a comprehensive competitor analysis with a simple API call.
Before we dive into the "how," let's appreciate the "why."
The Traditional Challenge:
The Agentic Workflow with Lexi:
Lexi transforms this paradigm. It's not just a language model that answers questions; it's an autonomous agent that performs work. When you give Lexi a task, it autonomously:
This is the essence of Services-as-Software—delegating a complete business service to an intelligent agent through an API.
Let's imagine you're planning to launch a new "AI-powered email client." You need a deep understanding of the competitive landscape to position your product for success. Instead of blocking out a week on your calendar, you can delegate this to Lexi.
With the lexi.do SDK, you can define and assign this entire project in just a few lines of code.
import { lexi } from '@do/sdk';
// Give Lexi a complex, multi-step task
const marketAnalysisReport = await lexi.do({
task: "Perform a comprehensive market analysis for a new AI-powered email client.",
objectives: [
"Identify top 5 competitors and their market share.",
"Analyze current market trends and user sentiment.",
"Suggest a target audience and key messaging points."
],
format: "markdown"
});
console.log(marketAnalysisReport);
Let's break down what's happening here:
After a few minutes, the marketAnalysisReport variable will contain a complete, well-structured report. While the exact output will vary based on real-time data, it would look something like this:
# Market Analysis: AI-Powered Email Clients
## 1. Top 5 Competitors & Market Share
| Competitor | Estimated Market Share | Key Features |
|---|---|---|
| Superhuman | ~15% | Speed, keyboard shortcuts, AI triage |
| Hey.com | ~10% | "Imbox" screening, email blocking |
| Spark Mail | ~8% | Smart Inbox, AI-powered summaries |
| Mailbutler | ~5% | CRM integration, AI email assistant |
| Canary Mail | ~4% | PGP encryption, AI-driven writing tools |
## 2. Current Market Trends & User Sentiment
* **High Demand for AI Summarization:** Users consistently express a desire for tools that can summarize long email threads and attachments.
* **Focus on "Deep Work":** Sentiment analysis of reviews on G2 and Twitter shows a growing frustration with constant notifications. Products that help users focus are highly valued.
* **Integration is Key:** There is a clear trend towards integrating email with project management tools (like Asana, Trello) and CRMs (like Salesforce).
* **Privacy Concerns:** With the rise of AI, users are increasingly vocal about data privacy and how their emails are being processed.
## 3. Recommended Target Audience & Messaging
* **Target Audience:**
* **Primary:** Tech-savvy professionals, founders, and managers in small to medium-sized businesses who are overwhelmed by email volume.
* **Secondary:** Freelancers and consultants who value productivity and efficiency.
* **Key Messaging Points:**
* **"The Inbox, Reimagined."** - Focus on innovation and a new approach.
* **"Achieve Inbox Zero and Reclaim Your Focus."** - Highlight the core benefit of productivity.
* **"Your AI Assistant for a Smarter Inbox."** - Clearly state the value proposition of the AI features.
In minutes, you have a report that would have taken a human analyst days to produce. It's insightful, data-driven, and immediately actionable.
It's crucial to understand that Lexi is not just a chatbot or a simple LLM wrapper. An LLM can provide information; an agent takes action. The ability to deconstruct a goal, use tools, and synthesize a final deliverable is what sets an autonomous worker apart. You don't prompt it for facts; you delegate a job and receive a finished product.
Ready to automate your complex workflows and empower your team with an autonomous AI agent?