Alchemist Platform

Alchemist Production Workloads: Non-Chat Examples

Concrete examples of what Alchemist can build beyond chat agents: REST APIs, backend services, service-to-service integrations, workers, scheduled jobs, event processors, data pipelines, and conventional web applications. AI does the engineering; no AI has to run in the resulting software.

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Hunter Hodnett
Hunter Hodnett CPTO at Chipp
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# alchemist # production # workloads # examples # autonomous-development

Alchemist builds and ships software through tickets. AI agents do the engineering work; what they produce runs as ordinary, deterministic software. This page covers the range of production workloads you can ask Alchemist to build, with concrete examples for each type.

ℹ️

None of the workload types below require an AI, LLM, chatbot, or conversational interface in the deployed runtime. The AI is on the engineering side (planning, coding, testing, reviewing, deploying). The software it ships can be as conventional as any service written by a human developer. See Alchemist Architecture: The Two Planes for the full structural breakdown.

REST APIs and backend services

Alchemist can build and maintain HTTP APIs that other systems call:

  • Internal APIs that expose business logic to a frontend or mobile app.
  • Partner APIs that external services call on a published schedule or event.
  • Admin APIs that back an internal tooling surface (dashboard, operations console).
  • Webhook receivers that accept inbound calls from third-party services (Stripe, GitHub, Twilio, etc.) and process them against your data layer.

Example ticket: “Add a POST /api/orders/bulk-import endpoint that accepts a JSON array of order objects, validates each against the order schema, writes valid rows to the orders table, and returns a summary of successes and failures.”

Backend services

Alchemist can build self-contained services that run independently of any UI:

  • Calculation services that other services call for pricing, routing, or scoring.
  • Transformation services that normalize and enrich incoming data before it reaches a database or downstream system.
  • Auth and token services that issue and validate credentials for internal callers.

Example ticket: “Build a pricing-service that accepts a cart_id, fetches applicable discount rules from the promotions table, calculates the final total, and returns a breakdown. Expose it over an internal HTTP endpoint.”

Service-to-service integrations

Alchemist can write the glue code that connects two existing systems:

  • CRM-to-billing sync: push customer status changes from Salesforce to Stripe.
  • Inventory-to-warehouse: write order lines from your ERP into a 3PL’s API.
  • Identity bridge: replicate user records between an IDP and an internal users table on a schedule or triggered by a webhook.

Example ticket: “When a Salesforce Account is marked Churned, call the Stripe API to cancel all active subscriptions for that account’s customer ID and write a row to churns_log with the timestamp and reason.”

Workers and background job processors

Alchemist can build persistent workers that consume from a queue or topic:

  • Queue consumers (SQS, RabbitMQ, Kafka, Pub/Sub) that process messages and write results to a database or downstream API.
  • Retry workers that pick up failed operations from a dead-letter queue and re-attempt them with backoff.
  • Batch processors that drain a work queue in parallel within a time window.

Example ticket: “Build a worker that reads image_resize messages from the SQS queue, fetches the source image from R2, resizes it to three target dimensions, writes each variant back to R2, and marks the job complete in the image_jobs table.”

Scheduled jobs and cron-style tasks

Alchemist can build and schedule periodic jobs:

  • Nightly aggregation jobs that roll up daily metrics into a reporting table.
  • Reconciliation jobs that compare two system states and log or resolve discrepancies.
  • Cleanup jobs that purge soft-deleted rows or expired sessions on a schedule.
  • Export jobs that generate and deliver CSV, JSON, or PDF reports to an S3 bucket or FTP target.

Example ticket: “Run a cron job at 03:00 UTC every day that queries orders for the prior 24 hours, aggregates revenue by SKU category, and upserts the results into daily_revenue_summary. Send an error notification to the #data-alerts Slack channel if the job fails.”

Event processors

Alchemist can build event-driven pipelines that react to state changes:

  • Domain event handlers that listen for internal events (user created, order placed, payment failed) and trigger downstream actions.
  • CDC processors that react to database change streams.
  • Webhook fan-out services that receive a single inbound event and dispatch it to multiple downstream consumers.

Example ticket: “Subscribe to the payment.failed event on the internal event bus. For each failure, look up the subscription record, increment the failure_count, and trigger a retry if failure_count is less than 3; otherwise mark the subscription suspended and enqueue a dunning email.”

Data pipelines

Alchemist can build ELT/ETL pipelines that move and transform data between systems:

  • Ingestion pipelines that pull from a source API or file drop, transform the records, and write to a data warehouse or analytics DB.
  • Sync pipelines that keep two databases consistent with incremental change detection.
  • Reporting pipelines that join multiple tables, apply business rules, and materialize summary tables for a BI tool.

Example ticket: “Build a nightly pipeline that pulls Shopify orders placed in the last 24 hours via the REST API, joins them against the customers table in Postgres, and writes the enriched rows to the shopify_orders BigQuery table, replacing any existing rows for the same order ID.”

Conventional web applications

Alchemist can build and maintain web applications that have no conversational interface at all:

  • Internal admin dashboards for operations, support, or finance teams.
  • Partner portals where external companies log in and manage their account data.
  • Consumer-facing apps with forms, tables, charts, and standard CRUD workflows.

Example ticket: “Build an internal operations portal at /ops that shows a paginated, filterable table of all open support tickets from the tickets table, lets an admin change the assignee field inline, and shows a sidebar with daily open/closed counts.”