AI Engineering & Pragmatic Data Systems
Pragmatic AI features and privacy-first product telemetry that create real customer utility.
01 THE CHALLENGE
Why teams struggle
without this.
We integrate AI capabilities into real product workflows where they provide undeniable user value. We build evaluation harnesses to prevent hallucinations, design streaming UX patterns, and architect cookie-free event telemetry pipelines that help product teams learn rapidly.
The Common Trap:
Most AI implementations are gimmicky chat bubbles that hallucinate, frustrate users, and cost a fortune in API tokens. We build disciplined AI workflows with tight guardrails, caching, and fallback states.
Measurable Outcomes:
- Reliable, structured JSON outputs with 99.8% schema conformance
- Optimized token caching reducing LLM API costs by up to 70%
- Client-side streaming interfaces with instant perceived latency (< 200ms)
- Cookie-free event pipeline delivering real-time user journey analytics
02 WHAT YOU RECEIVE
Tangible artifacts,
not just advice.
Every engagement produces documented, verified deliverables that your internal team owns and maintains completely.
Structured AI Workflow Engine
Multi-step agentic pipelines, schema validators, prompt templates, and deterministic retry mechanisms.
Automated Evaluation Harness
Test suite benchmarking model outputs against golden test datasets for quality, latency, and cost before deployment.
Streaming UI & Fallback Components
Accessible React 19 components for streaming text, inline suggestions, diff reviews, and graceful error fallbacks.
Privacy-First Telemetry Pipeline
Self-hosted or edge-buffered event tracking pipeline with automated PII scrubbing and ClickHouse analytics.
03 THE 4-STEP PROCESS
Disciplined,
transparent execution.
Workflow Framing & Prompt Architecture
We identify the exact high-leverage cognitive task to automate, write system instructions, and establish evaluation rubrics.
Eval Dataset & Baseline Benchmark
We construct a 100-example golden evaluation dataset to measure accuracy, edge-case handling, and token expenditures.
Streaming Integration & UI Guardrails
We implement streaming responses, optimistic UI updates, and human-in-the-loop review affordances.
Telemetry & Continuous Optimization
We deploy real-time telemetry to track user acceptance rates, latency distributions, and cost per workflow.
04 ENGAGEMENT STRUCTURE
Clear commitments.
Predictable investment.
AI Feature Sprint (4–6 Weeks)
Telemetry & Analytics Infrastructure Sprint
05 FREQUENTLY ASKED QUESTIONS
Everything you
need to know.
Which AI models and providers do you work with?
We work across OpenAI (GPT-4o), Anthropic (Claude 3.5 Sonnet), and open-weights models (Llama 3, Mistral) hosted via Fireworks, Together AI, or local Ollama. We select models based on latency, cost, and task accuracy.
How do you prevent hallucinations in customer-facing products?
We utilize strict Zod schema extraction, retrieval-augmented generation (RAG) with source verification, deterministic post-processing rules, and user-facing review controls.
Is user data kept secure and private?
Yes. We enforce enterprise zero-data-retention agreements, strip PII at the edge before sending payloads to models, and support on-premises or private VPC model hosting.