Design & implementation of AI-powered features inside web products: retrieval-augmented search, intelligent assistants, adaptive UI, structured extraction & scoring.
Snapshot
Why It Exists
Distills patterns from real R&D & production experimentation into a repeatable engagement surface for faster outcomes.
Applied AI Features & Product Integration isn't just an offering - it's a lever for accelerating delivery, reducing waste, and creating compounding operational advantage. Engagements are lean, outcome-focused, and structured so you get clarity early, momentum quickly, and durable assets at handover.
Approach
Founder-level thinking + senior execution. No bloated layers - direct collaboration & async progress.
Delivery
Iterative build cycles with visible increments. Scope adapts with validated feedback, not guesswork.
Outcomes
Optimized for measurable impact: time saved, cost reduced, capability gained, or velocity increased.
Shipping AI features isn't about sprinkling an API key - it's controlled retrieval, scoped generation, guardrails, and feedback loops.
This service establishes evaluation-first implementation so quality, latency and cost are observable, tunable and regressions caught early.
Retrieval design (hybrid / semantic / metadata filters)
Prompt strategy + evaluation harness (auto & human-in-loop)
Guardrails / fallback orchestration with structured traces
Cost & latency instrumentation w/ budget thresholds
Embedding lifecycle & drift monitoring
Multi-source retrieval + intent routing + safe tool execution.
Ingestion + layout parsing + structured extraction feeding enrichment pipelines.
LLM-enhanced tagging, classification & prioritization feeds.
Assess candidate features & data assets; define evaluation KPIs.
Design ingestion + retrieval topology (vector / hybrid / filters).
Prompt strategy, test set curation, scoring & regression harness.
Instrumentation, cost/latency dashboards & iterative tuning.
Only when retrieval + prompt + adapter routes can't reach target quality / cost. Most early wins come from better grounding & evaluation loops.
Hybrid retrieval + answer citation + guardrail classification + evaluation regression tests across representative queries.
Direct access to the builder. Strategy, architecture & implementation aligned - no translation loss.
Lightweight artifacts, fast iteration, asynchronous updates. Decisions grounded in measurable impact.
Code, automation & architecture you can extend - documented, observable, production-ready.
Share current state, constraints & desired outcomes. I’ll respond with clarifications or an initial path within 24 hours.
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