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AI Execution Strategy & Plan Design · BloomSpec

Where this sits

Platform & Enabling Systems
AI Workload Planning & Optimization
AI Execution Strategy & Plan Design

Alongside it

AI Usage Observability, Attribution & Continuous Calibration
AI Usage, Pricing & Unit-Economics Modeling
AI Workload Characterization & Objectives
Adaptive Model Allocation, Routing & Reasoning-Budget Planning
Agentic & Multi-Step Workload Optimization
Context, Caching & Request Packaging Optimization
Cost, Quality, Latency & Outcome Trade-off Evaluation
Inference Capacity, Serving & Workload Placement Planning
Model, Provider & Service Selection
Scenario Simulation, Forecasting & Sensitivity Analysis

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What capabilities are part of this?
What operations are part of this?
How many capabilities are part of this?

Solution group

AI Execution Strategy & Plan Design

Construct viable alternative structures for executing an AI workload before implementation or re-optimization.

Capabilities in this group9

Execution Alternative Generation
Execution Plan Construction
Failure, Retry & Recovery Strategy Planning
Long-Context, Retrieval & Hybrid Strategy Planning
Online, Asynchronous & Batch Mode Planning
Reasoning Effort & Test-Time Compute Planning