Role-aware customer portal
Scoped modules per tenant, audit-friendly activity, and pragmatic SLIs — a representative engagement shape until the published case study lands.
We wire GPT-class models into products you own: assistants, extractors, copilots, and agents — with token budgets, guardrails, and human review where it matters.
BalochDev builds OpenAI API integrations for teams that need GPT-powered chatbots, document summarization, or retrieval-augmented generation in production — not demos only. We implement streaming responses, tool calling, JSON schemas for structured extraction, and rate-aware retries so features stay fast under load. For regulated workloads we pair OpenAI with your identity provider, scoped OAuth, audit logs, and data minimization — never leaking customer payloads into prompts without explicit policy.
Function calling and strict schemas reduce brittle prompt hacks.
Streaming UX, caching, and batch routes tuned for real users.
Budget caps, fallbacks, and evaluation hooks — not demo-tier AI.
Policy filters, red-team prompts, and kill switches for production.
From internal copilots to customer-facing assistants, we shorten delivery with reusable patterns: typed tool interfaces, traceable runs, and CI checks — while keeping security review explicit for anything that touches PII or payments.
OAuth-connected assistants use least-privilege tokens, server-held secrets, and audited tool scopes — especially for CRMs, billing, and internal admin APIs. Large-scale rollouts get staged releases, tracing, and cost dashboards before traffic spikes.
They wired integrations that respected our auth boundaries — uncommon discipline versus slap-dash MVPs.
Monitoring and rollback paths showed up early — not after demos silently broke in production.
Case studies and shipped surfaces live on the portfolio — each engagement mixes product discipline with the stack lane above. Draft placeholders below mirror the Technologies grid rhythm until published case studies replace them.
Scoped modules per tenant, audit-friendly activity, and pragmatic SLIs — a representative engagement shape until the published case study lands.
Idempotent jobs, dead-letter paths, and dashboards engineers trust — representative of how BalochDev ships data-heavy workflows.
Versioned contracts, OAuth client isolation, and sane rate limits — stable boundaries before integrations multiply.