Models
- Claude 3.5/4.6: High reasoning and long context for complex automation.
- GPT-5.x: Strong tools and reliability for production flows.
- GPT-4.1-mini / Phi: Speed/cost-sensitive steps.
- Llama local: On-prem or private cloud for data-sensitive use.
Retrieval & data layer
Indexes: pgvector, Weaviate, or native embeddings in Postgres.
ETL: Airbyte/Fivetran for sync; dbt for modeling.
Storage: Postgres/BigQuery; S3/GCS for blobs.
Tools & actions
- API-first integrations with signed calls and least-privilege creds.
- Headless browser/RPA when APIs are unavailable, wrapped with guardrails.
- Function calling for deterministic actions and safe fallbacks.
Evals and quality
- Golden and synthetic evals for accuracy, safety, and regressions.
- Scenario fuzzing for prompts, tools, and multi-turn flows.
- Human review on critical paths until metrics stabilize.
Monitoring & ops
Tracing: Structured logs and spans across every call.
Alerts: Latency, cost, refusal, and error thresholds.
Replay: Record-and-replay for failures and audits.
Approvals: Human-in-the-loop for risky actions and PII.
Deployment
- Containerized services with CI/CD and blue-green rollouts.
- Regional routing when data residency matters.
- Feature flags for progressive rollout and A/B evals.
Opinionated, flexible, and proven—the stack we deploy depends on your risk, data, and goals, not hype.
FAQ
Can you work on-prem?
Yes. We deploy local models and isolated services when data residency is required.
Do you support SOC2/GDPR?
We design for compliance: access controls, logging, data minimization, and regional routing.
How do you handle drift?
Automated evals, alerts, and staged rollouts with rollback paths.
Can we use our vendor list?
Yes. We adapt to your approved stack while maintaining our guardrails and evals.