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Concept buildAgentic AI

Waypoint

A concept agent system that plans and executes multi-step logistics workflows with human checkpoints.
Waypoint

Challenge

Logistics coordination involves dozens of small decisions per shipment — most repetitive, some genuinely needing a human call.

Approach

Built an agent architecture that owns the repetitive 90% end to end and escalates the remaining 10% with full context, instead of a chatbot that answers questions about the process.

Design

An operator console designed around trust: every agent action is visible, reversible where possible, and logged in plain language before it's logged as data.

Engineering

Tool-scoped agent with explicit permission boundaries, a task-planning loop, and an escalation path that hands off state cleanly to a human operator.

Technology

LangGraphPythonPostgreSQLNext.js

Outcome

A concept build demonstrating our approach to agentic systems: bounded autonomy, not unconstrained automation.

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