ProductCore is an AI-native product strategy workspace designed for agencies, product teams, and founders. It uses eight specialized AI agents to transform product hypotheses, raw research, and business constraints into a clear strategy, MVP specification, and KPI framework in hours rather than weeks. The platform is built by OctoberTech Inc and is currently available as a founder-led beta.
How It Works
- Start with a product hypothesis, idea, or strategic goal. ProductCore activates eight AI agents across seven analysis lenses (Market, User, Business, Technical, Hypothesis Expansion, Jobs-to-be-Done, Value Proposition) plus a dedicated Synthesis agent to create comprehensive briefs.
- The agents surface up to ten scored opportunities. Each opportunity includes success metrics, risk and mitigation strategies, priority score, target segment, market size, feasibility assessment, and competitive edge analysis.
- Select up to three opportunities and anchor them to one of three Future-Back Scenarios: near-term (immediate execution), adjacent (next horizon), or transformational (long-term vision).
- The dedicated MVP agent generates a structured three-column MVP table covering Feature, KPI, and Acceptance criteria. The output also includes MVP goal, target users, risks, and explicit out-of-scope items for clear team alignment.
Key Capabilities
- Eight specialized strategy agents that work on demand to synthesize market signals, user insights, competitive intelligence, business constraints, and technical feasibility into actionable briefs you can review and refine.
- Structured discovery workflow that moves from hypothesis through opportunities and future scenarios to a sprint-ready MVP specification with defensible decision rationale at every step.
- Continuous strategic intelligence: AI agents analyze market signals and competitive landscapes to surface opportunities and risks that traditional product management processes might miss.
- Rapid experimentation support: AI-designed tests with simulated outcomes enable teams to validate product hypotheses with data-driven predictions before committing engineering resources.
- Two-week learning sprint methodology: AI compiles intelligence briefs, teams form testable hypotheses, AI predicts outcomes and suggests experiment designs, and results feed into clear kill-continue decisions with updated strategy maps.
- Always-on monitoring and alerts are in development, with plans for competitive and sentiment monitors, Slack and email alerts, weekly digests, and native exports to Jira, Linear, and Azure Boards.
Use Cases
- Product teams exploring a new product idea or market who need structured discovery and evidence-based strategy without weeks of meetings, slide decks, and stakeholder alignment cycles.
- Agencies and consultancies that need to move from client brief to investor-ready product strategy and MVP definition in a single working session, enabling faster engagements and clearer deliverables.
- Founders and product leaders who want to align their organization around a defensible product strategy with measurable KPIs and clear acceptance criteria before writing any code.
- Organizations undergoing AI-native transformation who want to adopt modern product management methodologies that leverage AI agents for continuous sensing and rapid decision-making.
Availability and Pricing
- ProductCore is currently in a founder-led beta cohort. Beta participants receive founding pricing, priority access to future releases, and direct input into product direction through working directly with the founder.
- Consulting services and strategy sprints are available for organizations that want guided transformation using the ProductCore methodology and workspace.
- Thirty-day bootcamps help teams adopt AI-native product management practices. Full organizational transformation consulting is available for enterprises.
- The platform is built by OctoberTech Inc, a woman-owned technology innovation studio founded in 1999 and headquartered in New York City.
