The era of staring at an empty chat box is ending. For months, marketers have used Large Language Models (LLMs) like Anthropic Claude as creative assistants, but a major shift toward autonomous AI agents is underway. A recent leak, first identified by Testing Catalog, reveals that Anthropic is preparing a massive update: Claude Agent Mode. This new interface transforms the AI from a simple conversationalist into a multifaceted task delegation engine, specifically designed for structured, complex workflows like influencer research, campaign analysis, and creator management.
Understanding the Leaked Claude Agent Mode
The leaked interface introduces a toggle between the classic chat experience and a specialized "Agent Mode." Unlike the open-ended prompts we are used to, this mode productizes the most common professional tasks into five core buckets: Research, Analyze, Write, Build, and Do More. According to reports from the Testing Catalog team, each section allows for granular control over depth, format, and source material.
For influencer marketing professionals, this means moving away from manual data entry. Instead of asking Claude to "find me creators," you can now delegate a multi-step AI task delegation process. This interface includes a Progress Tracker on the right side of the screen, breaking down each sub-task in real-time, alongside a Context Manager that lists the resources—like spreadsheets, URLs, or internal documents—that Claude is currently utilizing to complete the project.
The Five Core Sections: A Deep Dive for Marketers
Each of the five buckets discovered in the Anthropic Claude updates represents a fundamental shift in how AI marketing automation will function. By specializing the LLM's focus, Anthropic ensures higher-quality outputs with fewer hallucinations.
1. Research Agent
In the Research bucket, users can select where the agent should pull information from, including the open web or specific Model Context Protocol (MCP) connectors. This is revolutionary for identifying emerging trends. For example, search data on platforms like Google Ads reveals that niche fitness trends like Hyrox have seen a 5,525% growth in search volume over the last five years. A Research agent can be tasked with identifying the top 50 rising stars in this niche before they become too expensive for brands to partner with.
2. Analyze Agent
The Analyze section allows you to pick a specific approach: Validate, Compare, or Forecast. You can also toggle the depth of the analysis from "Quick" to "Thorough." This is the perfect tool for vetting potential brand partners. You can feed the agent a list of creator profiles and ask it to forecast campaign ROI based on industry benchmarks found on Meta Ads Manager.
3. Write Agent
Beyond simple text generation, the Write agent focuses on specific output formats like slides, docs, or spreadsheets. It can even handle step-by-step first drafts with citations. This is critical for drafting hyper-personalized outreach sequences or creating comprehensive campaign briefs that align with App Store Optimization (ASO) goals for mobile app clients.
4. Build Agent
The Build bucket allows Claude to generate "Artifacts" or code. Marketers can use this to build custom internal tools, such as a campaign tracking dashboard or a custom script to monitor Apple Search Ads performance. You can even pick the layout and theme of the resulting tool directly within the interface.
5. Do More
This is the catch-all for custom autonomous workflows where the agent can interact with third-party tools to orchestrate entire social media management cycles.
How to Use the Context Manager with Stormy AI
The true power of Claude Agent Mode lies in its Context Manager. This feature allows you to feed the AI specific data sources to ground its responses in reality. For influencer marketers, the most effective way to leverage this is by feeding granular data from Stormy AI's creator discovery engine directly into the agent.
By exporting a list of vetted influencers—complete with audience demographics, engagement fraud detection, and contact info—from Stormy AI and uploading it as a resource in Claude's Context Manager, you ensure the agent isn't just "guessing" who the best creators are. It is working with a verified dataset. You can then instruct the Analyze agent to compare these creators against your specific target persona, ensuring a 100% brand fit before sending a single email.
Playbook: Setting Up Research Agents for Competitor Benchmarking
To stay ahead in highly competitive niches like mobile gaming or SaaS, you must understand exactly which creators your competitors are working with. Here is how to set up an autonomous AI agent workflow for benchmarking.
Step 1: Define the Source Parameters
Open the Research bucket in Claude Agent Mode. Set the source to "Internet Search" and utilize the Google NotebookLM slides feature to organize your initial findings on competitor content themes. This allows the agent to look for specific keywords, hashtags, and mentions associated with your top three competitors.
Step 2: Execute the Deep Search
Instruct the agent to find all UGC (user-generated content) posts from the last 90 days that mention a competitor’s product. The Progress Tracker will show you as the agent scrapes social mentions, identifies the creators, and categorizes them by follower count. Tools like Krea AI can be used here to visually analyze the aesthetic of competitor creative assets to see what is trending.
Step 3: Analyze and Validate
Move the gathered list into the Analyze bucket. Ask the agent to Compare the engagement rates of these competitor-sponsored posts against your own historical averages. This will tell you if your competitors have found a high-converting creator niche that you are currently missing.
Using the 'Analyze' Bucket to Forecast Campaign ROI
One of the biggest pain points in influencer marketing is justifying the spend to stakeholders. The Analyze bucket in Claude Agent Mode simplifies this by allowing for data-driven forecasting. By pulling conversion data from Apple Search Ads and combining it with creator engagement metrics, the agent can build a predictive model for your next campaign.
You can ask the agent to: "Forecast the total app installs from a $10,000 spend across these 12 UGC creators, assuming a 2% click-through rate and a 15% App Store conversion rate." Because the agent has access to the Context Manager, it can pull the specific performance history of those creators if you have previously logged their results in your Stormy AI creator CRM.
This level of AI marketing automation removes the guesswork. You are no longer hoping a campaign works; you are managing a projected outcome based on validated data.
Transitioning from Basic Prompting to Agentic Delegation
To truly master Claude Agent Mode, marketers must shift their mindset from being "prompt engineers" to being "project managers." In a standard chat, you are responsible for the logic. In Agent Mode, the autonomous AI agents handle the logic, while you provide the Clarity.
This is best illustrated by the Thousand People Framework. Instead of trying to market to everyone, focus on the 1,000 people who are your absolute Ideal Customer Profile (ICP). Use Claude to create deep personas for these people—what they hate about their jobs, what they will pay $50-$100 a year for, and where they spend their time online. Once you have that clarity, you can delegate the entire influencer marketing workflow to your agents: finding the creators those 1,000 people follow, analyzing their content, and writing the outreach emails.
Conclusion: The Future of AI-First Marketing
The leak of Claude Agent Mode signals a turning point for the industry. We are moving away from tools that just "talk" to tools that "do." By combining the Anthropic Claude updates with specialized platforms like Stormy AI, marketing teams can 10x their output without increasing their headcount. Whether you are running ASO campaigns, sourcing UGC for TikTok Shop, or managing complex creator relationships, the goal remains the same: use AI to handle the repetitive tasks so you can focus on the strategy and creative direction that only a human can provide.