Comparisons
When to buy a tool. When to build agents.
No-code orchestrators and generic chatbots cover some work. The moment the process needs complex rules, multi-system integration, or audited exceptions, you need software—not another zap.
Zapier vs Custom AI Agents
CuratedZapier fits simple triggers and clean data. Custom agents fit document-heavy rules, multi-system state, and human checkpoints with an audit trail.
Make.com vs Custom AI Agents
CuratedMake fits visual orchestration of structured payloads. Custom agents fit messy packages, long-running cases, and reviewable change control.
Off-the-shelf Chatbots vs Production-Grade AI Systems
CuratedChatbots return text. Production AI systems execute workflows with tools, rules, human review, and structured logs.
Traditional RPA Tools vs Custom AI Agents
Classic RPA breaks when UIs change. Custom agents prefer APIs and structured documents, with human routing on exceptions.
Basic ChatGPT Wrappers vs Production-Grade AI Systems
CuratedA model wrapper is a UI over an API. Production systems add schemas, permissions, queues, and evals on real cases.
Out-of-the-box SaaS vs Bespoke Engineering
Avoid paying exorbitant subscription fees for rigid SaaS features you don't use. We build and hand over custom software assets engineered for your exact workflows.
Custom In-House Scripts vs Go Microservices
Replace fragile Python cron jobs and bash scripts with Compiled Go microservices designed for concurrency, observability, and high throughput.
Retool Internal Tools vs Enterprise Web Applications
Retool works for simple admin panels but slows down under complex multi-tenant logic. We design tailored, high-performance web applications with zero per-user licensing costs.
Engineering services
Ready to turn this into a production agent system?
This is the kind of workflow we build as an AI agent system: deterministic checks, human checkpoints, and an audit trail operators can trust. We start from your real process boundaries and ship software that holds up in production.