Prompt registry
Versioning, A/B, rollback, ownership.
Generative AI & LLM
Prompt & Context Engineering
Treat prompts as code — versioned, tested, owned.
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We engineer the context window like an API: schemas, retrieval, examples, and regression tests.
Capabilities
What we build
Context packing
Token budgets, dynamic retrieval, compression.
Structured outputs
JSON schema, function calling, repair loops.
Eval harness
Continuous tests against golden sets.
Outcomes
Measured results
+25%
Quality lift
30%
Token reduction
Predictable
Outputs
Why nexgts
Why teams pick us
- Prompts you can refactor safely
- Independent of model vendor
- Built for upgrades
Use cases
Where it fits
Document AIAgent tool callsKnowledge assistantsClassification at scale
Ready to put Prompt & Context Engineering into production?
We scope, build, and operate — usually in weeks, not quarters.
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