Schedule with natural language
Describe what you want in plain English. Scheduler0 turns it into reliable, cost-tracked cron jobs — using your own model provider keys.
Supported providers & models
Bring your own keys in Settings. These are the models Scheduler0 can call today.
OpenAI
GPT-4 and GPT-5 families, plus o-series reasoning models.
Anthropic (direct)
Claude via the Anthropic Messages API.
AWS Bedrock
Claude models hosted on Amazon Bedrock.
OpenRouter
A curated allowlist routed through OpenRouter's unified API.
Built for production AI scheduling
Natural language → cron
Describe a schedule in plain English and Scheduler0 returns validated jobs with RFC3339 timestamps, timezone offsets, and cron expressions — reminders, follow-ups, and digests.
Cost tracking
Every prompt records input/output tokens, duration, and an estimated USD cost, normalized to platform tokens so spend is comparable across providers and models.
Intent guardrails
An edge classifier screens each prompt and skips model execution for anything that isn't a scheduling request — saving you money on prompts that would never produce a job.
Deterministic-output harness
Structured JSON-schema outputs plus a multi-strategy parser turn free-form model responses into strict, reliable scheduling objects — no brittle prompt-scraping.
Prompt request log
Every execution — input, output, tokens, cost, duration, and status — is persisted and fully searchable in your dashboard for auditing and debugging.
Intelligent reminders in group & multi-agent channels
Schedule context-aware reminders and follow-ups that fire into group chats and multi-agent channels, keeping teams and agents in sync.
Start scheduling with AI
Configure your provider keys and generate your first job from a prompt.