Adviserry

Adviserry is an AI-powered tool designed for professionals, founders, and executives who consume a high volume of expert content but struggle to translate that information into tangible outcomes. It addresses the common problem of reading newsletters, watching YouTube videos, and studying frameworks without seeing any real change in your work or business. Instead of simply summarizing content, Adviserry synthesizes everything from your subscribed experts and maps it directly to your specific goals and projects. It automatically ingests content from Gmail, newsletters, and YouTube channels, building a comprehensive and searchable archive. The core value proposition is moving from passive consumption to active execution. Adviserry provides weekly action drafts, cross-source synthesis that combines insights from multiple creators, and a working memory that learns from your past work to deliver increasingly relevant advice over time. It offers proactive daily digests, alerts for urgent insights, and a chat interface to query your entire archive. For advanced users, it also provides MCP access for integration with Claude Desktop or ChatGPT, making it a central hub for turning expert knowledge into concrete, actionable steps that drive progress.

Action Drafts

Every piece of content from your subscribed experts is distilled into a specific, copy-paste ready action you can take that week. Instead of a generic summary, you receive a concrete move, such as "Test this pricing change" or "Send this email to your top three leads." Each action is cited with its original sources, ensuring you know exactly where the recommendation came from and can trust its basis.

Cross-Source Synthesis

When multiple experts you follow discuss the same topic within the same week, Adviserry automatically notices the convergence. It synthesizes their combined positions into a single, coherent recommendation. This feature saves you from having to read every piece of content yourself, and it highlights the most important, consensus-driven insights that are likely worth your immediate attention and action.

Working Memory

Adviserry is not a static tool; it remembers what you are building, what you have tried, and what has worked or failed. Every answer it provides pulls from your actual situation and history, ensuring the advice is tailored and relevant. The longer you use Adviserry, the more it learns about your projects and preferences, making its recommendations progressively sharper and more aligned with your unique context.

Proactive Daily Digests and Alerts

Adviserry works continuously, scanning new content from your experts every hour against your defined goals. It flags anything that is worth acting on and delivers the most actionable insights in a daily digest. For urgent or highly relevant items, it can send direct alerts. This ensures you never miss a critical piece of advice and can start your day knowing the next move is already on your desk.

Product Pricing and Strategy

A founder is working on pricing their product and standing out in a crowded market. Adviserry ingests content from experts like Patrick Campbell and Alex Hormozi, synthesizes their advice on repricing and value communication, and delivers a specific action draft, such as "Run a price sensitivity survey on your top 10% of customers this week" with cited sources.

Hiring and Team Building

An executive is focused on hiring and finding the right co-founder. Adviserry monitors newsletters and videos from talent experts, identifies common themes about interview processes and equity splits, and provides a concrete step, like "Draft a one-page role description using the top three traits identified by your experts and share it with your network."

Marketing to Modern Buyers

A marketing leader needs to reach modern buyers and get found by AI search. Adviserry tracks content from marketing thought leaders, cross-references their advice on SEO for large language models and social proof, and generates an action, such as "Publish a case study this week using the specific format recommended by your two most trusted sources."

Shipping with AI Agents

A technical product manager is exploring how to ship features using AI agents. Adviserry reads developer-focused newsletters and YouTube channels, synthesizes tutorials and best practices, and delivers a targeted action, like "Implement the specific error-handling pattern from your expert's latest video into your agent's workflow before the end of the week."

Adviserry offers a 7-day free trial with no credit card required for the first week. After the trial period, the service costs $14.99 per month. You can cancel your subscription at any time.

How does Adviserry know what I am working on?

You can define your current goals and projects directly within the platform. Adviserry also builds a "working memory" by analyzing the actions you take and the feedback you provide, allowing it to refine its understanding of your priorities over time for increasingly personalized recommendations.

Does Adviserry only work with newsletters and YouTube?

No. While newsletters and YouTube channels are primary inputs, Adviserry also ingests your own documents, strategy docs, project briefs, market research, and business plans. It can also auto-ingest your Gmail to capture relevant discussions and advice shared via email, building a comprehensive knowledge base.

How is Adviserry different from a standard AI chatbot?

Standard AI chatbots are reactive and wait for you to ask a question. Adviserry is proactive. It continuously scans new content, synthesizes it against your goals, and pushes actionable moves to you via daily digests and alerts without you having to prompt it. It is designed to drive outcomes, not just provide answers.

What is MCP access and how do I use it?

MCP stands for Model Context Protocol. This feature allows you to connect your Adviserry archive and insights directly to AI assistants like Claude Desktop or ChatGPT. This means you can query your entire curated knowledge base from within those tools, getting answers that are grounded in your specific expert sources and past work.