I finished Automation Patterns. I can build retried, deduped, logged chains. What's left?
The production-shaped layer. So far you wrote scripts that poll on a schedule. This track teaches scripts that react — to webhooks, to events, to signals. Plus: direct HTTP when no Composio tool exists, rate-limit headers, secrets via environment variables, structured JSON logs, metrics and threshold alerts, long-running jobs with resumable status.
Webhooks? Like receiving HTTP POSTs?
The pedagogy is the shape — parse a payload, verify its HMAC signature, dispatch by event type, dedupe replays, update state. The lessons treat the payload as a string the runtime hands you. The receiving infrastructure (a real HTTPS endpoint) belongs to your hosting provider — by the end of week 1 you'll know exactly what code goes inside that endpoint.
And what's week 4 — "patterns at scale"?
Once you have webhooks, HTTP, secrets, logs, metrics — the next gap is what happens when something breaks. Dead-letter queues for items you couldn't process. Replay safety so re-running doesn't double-charge anyone. Observability dashboards (a Sheet as a fake dashboard for the mental model). Cross-tool consistency. Multi-step rollback. By the end you'll write the smallest production-shaped pipeline that exercises every primitive on a single generic event.
Rate yourself below as it stands today. Same prompts on day 30.
Automation Mastery is the production layer. The previous tracks taught you the language of automation — calling tools, handling errors, dedup, state, logs. Mastery adds the patterns that make scripts safe to run unattended at scale.
Week 1 — Webhooks and event-driven workflows. Push vs pull tradeoffs. Parsing JSON payloads from a string. HMAC-SHA256 signature verification. Event dispatch by event.type. Replay-safe idempotency on event IDs. Event-triggered state writes (Sheet-backed).
Week 2 — Direct HTTP, rate limits, secrets. requests.get / requests.post for endpoints with no Composio tool. Inspecting X-RateLimit-* headers. Adaptive backoff (sleep proportionally when near zero). Reading secrets from os.environ (never hardcoded). Per-environment config (ENV=dev vs prod). API versioning via headers.
Week 3 — Observability and long-running. Structured JSON log lines, parseable by any log aggregator. Counters and timing metrics. Threshold-crossing alerts via Gmail self-send or Calendar events. Long-running jobs that track in-flight status in a Sheet so they're resumable. Queue-style dequeue/process/mark-done. A full synthesis of week 1-3.
Week 4 — Patterns at scale. Dead-letter handling — what to do with items you couldn't process. Replay safety — running the same job twice produces the same final state. Observability dashboards — a Sheet as a quick mental-model dashboard. Cross-tool consistency — keeping two tools' state in sync. Multi-step rollback — undoing a partial pipeline. A final integration synthesis.
Write the smallest reliable webhook-driven pipeline: verify signature, parse, deduplicate, dispatch by type, log structured per step, alert on threshold, write to state, resume after interruption, replay safely. That's the full production kit. Anything you build on top — AI agents, scheduled jobs, multi-tenant integrations — composes these.
Automation Patterns completed (or equivalent). You should be comfortable with retry-with-backoff, dedup keys, persistent state in a Sheet, structured chaining, partial-failure handling.
Rate each statement honestly on the 1-5 scale. The same prompts come back on day 30 to mark your delta. No grade — just calibration.
I finished Automation Patterns. I can build retried, deduped, logged chains. What's left?
The production-shaped layer. So far you wrote scripts that poll on a schedule. This track teaches scripts that react — to webhooks, to events, to signals. Plus: direct HTTP when no Composio tool exists, rate-limit headers, secrets via environment variables, structured JSON logs, metrics and threshold alerts, long-running jobs with resumable status.
Webhooks? Like receiving HTTP POSTs?
The pedagogy is the shape — parse a payload, verify its HMAC signature, dispatch by event type, dedupe replays, update state. The lessons treat the payload as a string the runtime hands you. The receiving infrastructure (a real HTTPS endpoint) belongs to your hosting provider — by the end of week 1 you'll know exactly what code goes inside that endpoint.
And what's week 4 — "patterns at scale"?
Once you have webhooks, HTTP, secrets, logs, metrics — the next gap is what happens when something breaks. Dead-letter queues for items you couldn't process. Replay safety so re-running doesn't double-charge anyone. Observability dashboards (a Sheet as a fake dashboard for the mental model). Cross-tool consistency. Multi-step rollback. By the end you'll write the smallest production-shaped pipeline that exercises every primitive on a single generic event.
Rate yourself below as it stands today. Same prompts on day 30.
Automation Mastery is the production layer. The previous tracks taught you the language of automation — calling tools, handling errors, dedup, state, logs. Mastery adds the patterns that make scripts safe to run unattended at scale.
Week 1 — Webhooks and event-driven workflows. Push vs pull tradeoffs. Parsing JSON payloads from a string. HMAC-SHA256 signature verification. Event dispatch by event.type. Replay-safe idempotency on event IDs. Event-triggered state writes (Sheet-backed).
Week 2 — Direct HTTP, rate limits, secrets. requests.get / requests.post for endpoints with no Composio tool. Inspecting X-RateLimit-* headers. Adaptive backoff (sleep proportionally when near zero). Reading secrets from os.environ (never hardcoded). Per-environment config (ENV=dev vs prod). API versioning via headers.
Week 3 — Observability and long-running. Structured JSON log lines, parseable by any log aggregator. Counters and timing metrics. Threshold-crossing alerts via Gmail self-send or Calendar events. Long-running jobs that track in-flight status in a Sheet so they're resumable. Queue-style dequeue/process/mark-done. A full synthesis of week 1-3.
Week 4 — Patterns at scale. Dead-letter handling — what to do with items you couldn't process. Replay safety — running the same job twice produces the same final state. Observability dashboards — a Sheet as a quick mental-model dashboard. Cross-tool consistency — keeping two tools' state in sync. Multi-step rollback — undoing a partial pipeline. A final integration synthesis.
Write the smallest reliable webhook-driven pipeline: verify signature, parse, deduplicate, dispatch by type, log structured per step, alert on threshold, write to state, resume after interruption, replay safely. That's the full production kit. Anything you build on top — AI agents, scheduled jobs, multi-tenant integrations — composes these.
Automation Patterns completed (or equivalent). You should be comfortable with retry-with-backoff, dedup keys, persistent state in a Sheet, structured chaining, partial-failure handling.
Rate each statement honestly on the 1-5 scale. The same prompts come back on day 30 to mark your delta. No grade — just calibration.
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