# Heimdall

> An end-to-end AI marketing-automation platform — research, planning, and execution driven by agentic multi-step workflows, with humans staying in control of what actually ships.

- Canonical: https://hasib.tech/work/heimdall
- Role: Backend Engineer
- Year: 2025—26
- Category: AI Marketing Automation
- Stack: Django, FastAPI, PostgreSQL, Redis, Celery, LangGraph
- Pipeline: Research → plan → execute
- Orchestration: Agentic multi-step workflows
- heimdall.social: https://heimdall.social

Heimdall is a fully AI-based marketing-automation platform: campaigns
researched, planned, and executed with agentic multi-step workflows, and
humans kept in the loop on the decisions that matter. I built the backend
that makes those workflows dependable enough to run unattended.

## Generation with guardrails

Marketing automation fails in a specific way — unsupervised generation at
scale produces content nobody should publish. Heimdall's pipeline runs as
inspectable stages: research, planning, content generation, and assisted
execution, with the expensive, irreversible steps sitting behind a
human-in-the-loop checkpoint.

## The platform underneath

Heimdall runs on Django and FastAPI with PostgreSQL, Redis, and Celery for
background processing. The agentic layer is orchestrated with LangGraph so
each step is an explicit, observable node rather than a black box — the
difference between a demo and something a team trusts with its outbound.