chays.ai

As a fractional CTO working across multiple companies simultaneously, maintaining consistent context, decision patterns, and quality standards across projects is a significant challenge. Traditional project management and documentation tools don't learn from past architectural decisions, can't adapt to project-specific coding patterns, and require manual effort to keep synchronized. Every new engagement starts from zero — losing the compounding value of cross-project experience.

Built chays.ai as a suite of specialized AI agents with persistent memory that learn and evolve across every project engagement. Using a tiered memory architecture — core memory for essential context, archival memory for long-term patterns, and recall memory for recent interactions — each agent retains technical context, coding standards, architecture decisions, and project history. Specialized agents handle different CTO functions: code review with project-aware standards, architecture guidance informed by past decisions, automated documentation that understands codebase evolution, and strategic technical advisory that draws on cross-project pattern recognition.

The platform's memory agents maintain context across thousands of interactions and continuously improve their recommendations based on accumulated project experience. chays.ai accelerates technical decision-making across multiple concurrent CTO engagements, ensures consistent engineering standards, and captures institutional knowledge that would otherwise be lost between sessions. The agents effectively compound the value of every project — each new engagement benefits from patterns learned across all previous work.