Goal Input & Execution Engine
Type an objective, activate computational tools, and watch the planner decompose tasks, query sandboxes, and self-correct in real time.
Goal Ingestion
System Prompt Parsing
Deconstructs natural language objective into atomic sub-tasks.
Decomposition & Planning
LLM Planner Core
Builds a directed acyclic execution graph with fallback branches.
Tool Invocation
Sandbox Action Dispatch
Dispatches API queries with schema-validated parameter blocks.
Observation Analysis
Context Evaluation
Inspects raw tool output and filters for hallucination or missing fields.
Self-Correction & Adaptation
Refinement Loop
Adjusts summary parameters after detecting missing orbital metric.
Objective Complete
Artifact Synthesis
Generates structured final response and records telemetry memory.
Watch how an agent thinks and acts
Step through live decision cycles to inspect memory recall, planning branches, and tool dispatch in real time.
Research exoplanet atmospheric data and compile atmospheric ratios.
0.8 TFLOPS
LLM Planner Core
Decomposition & Strategy
Breaks user objectives into structured dependency graphs and sub-task sequences.
0.3 TFLOPS
Vector Memory Bank
Context & Semantic Recall
Retrieves relevant episodic history and vector embeddings to anchor current reasoning.
1.4 TFLOPS
Tool Execution Engine
Action & Environment IO
Dispatches API calls, executes sandbox python scripts, and filters output through guardrails.
0.6 TFLOPS
Reflection & Adaptation Loop
Self-Correction & Eval
Evaluates observation output against intent, repairing plan branches when errors emerge.
Deterministic Task Ordering
Guarantees tool invocations strictly adhere to parent dependency constraints before initiating live network calls.
Zero-Context Bloat
Dynamic semantic compression purges stale token history while keeping critical goal states permanently pinned.
Automatic Plan Repair
When an API connector returns non-200 responses, the reflection core re-plans alternate routes in milliseconds.