DigiMuse.AI
DigiMuse.AI answers the question, can technology partner in improving you career arc. A minimum set of tools that just work, and can help you.
How? If you know your experience, your skills, your goals — your worth better than most, you will do better than most.
Technically, DigiMuse.AI is a privacy-first career system designed to improve career trajectory, earning potential, and long-term work satisfaction by turning daily work into structured evidence.
Work in Progress
Check the blog for entries, this description will be updated/improved as development schedule gets done.
Project Pillars:
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Product Surface — HTMX-driven web UI plus DRF APIs for work logs, skills library, and the live resume.
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Core Platform — multi-tenant Django domain services and workflows.
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Data & AI — Postgres + attachment storage, skill ranking and improvement signals from logs/reviews/feedback, and pluggable LLM/local-model services for drafting and recommendations.
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Operations & Trust — distributed, scalable private-network deployment with tenant isolation, auditing, monitoring/logging/metrics, and full backup + disaster recovery.
Project Status: MVP Build Out
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Architecture Deployed, Private Networks Deployed
- App skeleton done, Authentication and Authorization implemented
- Agentic AI workflow in place, MCP tools at 30%
- LLM models and capacity planning tested and validated
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Full log coverage, full testing coverage, backup and recovery live
Next Up:
- Completing out primary career tool workflows
- Completing out primary career tool UI
- Limited release of first tool