danic.ai-os / v1.0 — agentic core
Reference Architecture
Agentic Workflows
built to run in production.
01
Start with the workflow
7 questions before any model 1
Input
what triggers it?
2
Context
what does AI need?
3
Decision
classify, route, draft
4
Tool / Action
what system to touch?
5
Validation
how is it checked?
6
Human Approval
where is judgment?
7
Output
what does success look like?
Don't start with the model. Start with the workflow.
02
danic.ai-os layered architecture
8 layers · 1 gateway · feedback loop A
Trigger Layer
how work begins
- hooks
- slash-commands
- user query
- file event
- webhook
- schedule
B
Context Layer
gather right inputs
- ai-brain
- skills (40+)
- org-layer
- memory
- vector store
- past sessions
C
Reasoning Layer
interpret · plan · draft
- orchestrator
- sub-agents (80+)
- classify
- plan / route
- summarize
- draft / extract
D
Action Layer
tool gateway · MCP
- github
- slack
- postgres
- notion
- calendar
- supabase
E
Guardrails
check before action
- schema check
- policy check
- NFR framework
- confidence threshold
- source / citation
- test verification
F
Human Layer
approval where risk is high
- legal
- finance
- security
- external send
- customer impact
- compliance (GDPR)
G
Output Layer
what the workflow produces
- draft email
- PR / code change
- updated ticket
- report
- alert
- dashboard update
H
Feedback Layer
close the loop
- logs
- telemetry
- user feedback
- evals
- prompt updates
- memory updates
Architecture principle
- AI operates inside a workflow, never outside it.
- Every action requires context, validation, and accountability.
- Production AI =
reasoning + tools + controls + review
03
What makes it production-ready
6 non-negotiables01
Clear inputs
Define the trigger and required data. No ambiguity at the entry point.
02
Reliable context
Right docs, right history, right business rules — assembled deterministically.
03
Action boundaries
Limit what tools and systems the agent can touch. Least privilege by default.
04
Validation
Verify outputs before anything happens. Schema, policy, source, test.
05
Human oversight
Keep humans in the loop for high-risk, customer-facing or irreversible decisions.
06
Continuous improvement
Learn from every run. Evals, telemetry, prompt + memory updates.
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