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01/05
Multi-Agent AI Platform
Studio Operations, Automated
A Slack-native, serverless platform where four cooperating agents run studio operations end to end.
Role
Senior Frontend Developer — full-stack owner
Company
Crescentic
Period
Jan 2026 — Present
Fig. — generative stand-in
2026
Built with
TypeScriptVercel AI SDKAnthropic Claudepgvector / PostgreSQLDrizzle ORMCloudflare Workers
Context
Operations that lived in Slack threads
Studio operations ran on human relay — a request in one channel, an approval in another, a spreadsheet somewhere in between. The work was legible to the people doing it and invisible to everyone else.
The brief was to automate it where it already happened, without asking anyone to learn a new tool.
Approach
Four agents, one tool-calling loop
I built and shipped the platform end to end on the Vercel AI SDK, engineering the tool-calling loop and the supporting interfaces across four cooperating agents.
Event-driven automation ties Slack, GitHub webhooks and scheduled jobs together on Cloudflare Workers, backed by a sixteen-table PostgreSQL schema modelled in Drizzle ORM with pgvector for retrieval.
Every surface an operator touches — request, approval, handoff, escalation — is Slack-native. No second destination to check.
Outcome
Observable by default
Usage and cost-reporting dashboards were instrumented alongside the agents rather than bolted on, so platform behaviour and platform spend are inspectable from the first run.
00
Cooperating agents
00
Table Postgres schema
E2E
Shipped solo, front to back
Open to senior frontend & full-stack roles
murtaza.bohra8999@gmail.com