Research Assistantv1.0.0

A product manager needs to understand how competitors are positioning their features and pricing before a roadmap planning session. They use the Research Assistant to search recent reviews, pricing pages, and news, then generate a comparison table with recommendations. This helps the team make faster, evidence-based positioning decisions.

A founder is evaluating a new geographic or vertical market and needs credible data on market size, growth trends, and key players. The assistant gathers sources, synthesizes statistics, and produces a structured report with cited references. The founder uses the output for investor conversations and go-to-market planning.

An engineering lead must choose between competing frameworks, cloud services, or AI tools for an upcoming project. The assistant researches capabilities, limitations, adoption, and alternatives, then delivers a decision matrix with trade-offs. This reduces evaluation time and documents the rationale for stakeholders.

A consultant preparing a client briefing needs a concise, dated overview of recent developments in an industry. The assistant searches for recent news, builds a timeline, and assesses potential impact on the client's business. The structured output becomes the basis for a slide deck or executive memo.

A writer or analyst needs reliable background research on a complex topic, including statistics, expert sources, and conflicting viewpoints. The assistant gathers and synthesizes multiple sources, flags unconfirmed claims, and produces a cited summary. This speeds up drafting while maintaining source integrity.

Offer basic research reports and a limited number of searches for free, while charging for longer reports, more sources, and export options. Individual users can upgrade monthly as their needs grow. This model drives adoption through low friction and monetizes power users.

Sell team-wide access to companies that need recurring competitive, market, and technology intelligence. Features include shared workspaces, branded report templates, and integration with internal knowledge bases. Pricing is seat-based or annual contract with volume discounts.

Expose the research workflow as an API or embedded feature so other products can generate structured reports on demand. Partners pay based on API calls, report volume, or a platform fee. This turns the assistant into infrastructure rather than an end-user app.