Cut operational costs by 80% with automation that handles real work—not POC experiments.
Durable, observable workflows that can pause, resume, and adapt—not a one-off LLM call that breaks when something goes wrong. Built by Vercel Solutions Partners on a battled-proof Vercel stack.
Stream type-safe prompts and responses with React, Next.js and the Vercel AI SDK.
Use AI Gateway for model routing, provider failover, and secure access to embeddings/RAG.
Plan multiple step workflows with durable queues/Workflow DevKit.
Execute actions via Functions and Sandbox microVMs.
Stream results back in real-time.
High-growth product companies scaling operations
Organizations currently using Vercel or preparing to deploy AI Cloud
Engineering, Operations, Support, and Revenue Operations teams requiring workflow automation
Companies managing repetitive, data-intensive internal processes
Teams moving beyond proof-of-concepts to deploy production-ready systems
Once deployed, agents handle targeted workflows autonomously—cutting operational costs by 80–95% and running without interruption.
80–95% cost reduction for target processes compared to human-run equivalents
10–20x productivity gains in affected workflows
Manual processes often decommissioned immediately once agents are operational
Durable, fault-tolerant loops that survive deploys and crashes
Full observability with logs, traces, run history, and failure diagnostics
Secure, isolated execution using Sandbox, WAF, BotID, and secret management
Integrated workflows instead of scattered scripts
Your team gains the capability to extend and scale agents internally
Blazity built an open-source Slackbot that tracks how AI models respond to questions about a brand—testing across GPT-4o, Claude, Gemini, and Grok simultaneously.
The bot uses Vercel Workflows for durable execution, generates contextual questions through AI SDK structured outputs, runs parallel visibility checks, and delivers threaded reports directly in Slack.
Teams can configure models, question parameters, and tracking frequency through an interactive modal, with full observability into each workflow run.
Blazity architects the system, builds the first agent, and hands over the infrastructure so your team can scale autonomously.
We map the complete architecture: prompt flows and UI built with Next.js and AI SDK, context retrieval through AI Gateway, durable workflows with pause/resume capability, integration points for CRMs and internal systems, approval checkpoints, security controls, and monitoring infrastructure.
Architecture document with diagrams
We build and deploy the initial agent: user interface, fault-tolerant workflow engine, system integrations, and full testing coverage. The build follows Vercel's transformation sprint model—Foundation, Core Features, Integration.
One fully operational production agent
We enable your team to build the second agent independently using the established infrastructure—through paired coding sessions, code reviews, and reusable pattern documentation.
Internal Agent Playbook
We set up dashboards for traces and metrics, alerts for failure modes, logging and exception mapping, and run history for audits.
Agent Observability Suite
You receive runbooks, agent behavior documentation, prompt design guidelines, maintenance instructions, and security protocols.
Complete internal documentation
A working agent, the infrastructure to scale it, and the documentation to run it.
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