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Estimate project time, cost, and schedule risk with multiple forecasting models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Epoch" yet — see the docs or source repo.
Use the PERT method to estimate this feature development task: optimistic 3 days, most likely 5 days, pessimistic 10 days. Return the expected duration and a brief risk note.
Returns the PERT expected duration, uncertainty range, and key schedule risks.
Based on the team's completed story points from the last 6 sprints—28, 31, 26, 34, 29, and 30—forecast the probability of finishing 32 points next sprint and provide a recommendation.
Provides the completion probability, forecast range, and advice on whether to reduce scope.
Map an LLM task with 12,000 input tokens and 3,000 output tokens to execution time and cost, and flag possible queueing or timeout risks.
Outputs estimated runtime, cost, and risk notes related to throughput or timeouts.
Demo MCP server for calculations, time checks, notes, and code review prompts.
Enable AI agents to run project scheduling, CPM, PERT, and earned value analysis.
Read and update ERP project time logs through secure AI tool calls.
Gives agents time awareness by tracking elapsed turns and day rollover.
Track time, manage activities, and generate reports with natural language.
Helps AI map unfamiliar TypeScript SaaS repos, risks, and critical flows.