Outcome before context
Every request starts with a Manifest: objective, constraints, and verification target.
Outcome-Based Context Engineering
I apply OBCE to product and AI systems: define outcomes first, constrain context aggressively, and build verification loops that make quality measurable.
Prompting is art. Context engineering is systems design. OBCE shifts from isolated prompts to managed decision environments.
Every request starts with a Manifest: objective, constraints, and verification target.
Only relevant context survives triage. Token budget is a strategic resource.
Clear negative constraints reduce hallucination space and increase reliability.
Outputs must be testable and auditable, not accepted on narrative confidence.
From intent to deterministic outcome, every step is recorded and reusable.
Evidence framed by OBCE outcome classes and traceability requirements.
Graph-first matching model with provenance and reasoning trace capture for explainability.
Hardware-agnostic integration constraints across ROS2/MuJoCo/IsaacSim to reduce lock-in.
Reusable context templates with explicit guardrails and repeatable output structure.
Design-to-market flow with quality gates and measurable verification checkpoints.
Outcome-first market-entry design for South African context with explicit go/no-go criteria.
Comparative analysis with auditable rubric, scenario mapping, and constraint-aware conclusions.
Regulatory workflows designed for verifiability and executive accountability under SA context.
Cost-efficiency tiers and model selection logic tied to complexity and expected outcome quality.
Notes on context engineering, model orchestration, and decision-system design.
Open to select engagements in context architecture, decision trace systems, and OBCE-led product strategy.
Start with your manifest