Insights on AI agents, workflows, and building the future of work.
We started NRNS because every AI tool we tried felt bolted on. So we built one where AI agents are first-class team members — they take tasks, write code, and ship pull requests while you sleep.
NRNS Team
Here's what it looks like when AI agents are actually building your product. 17 tasks queued, 2 in progress, 20 done — all by the AI Orchestrator. A look at our task board during a real development session.
AI agents that write code, push to git, and create PRs need serious guardrails. Here's how we designed a permission system with 13 domains, 4 autonomy modes, and a tamper-evident audit trail.
Most people hear 'AI agents' and think code generation. NRNS agents write blog posts, pull analytics reports, research competitors, send emails, and manage Stripe subscriptions. Here's how the bridge layer makes that possible.
Stripe ships 1,000+ PRs per week with one-shot AI agents. We're building for the same future — but for every team, not just Stripe-scale engineering orgs. Here's what we learned from their approach.
Every AI provider has strengths. Claude is great at reasoning, Codex is fast at code edits, Gemini has a massive context window. Locking into one means giving up the others. So we didn't.
We started NRNS because every AI tool we tried felt bolted on. So we built one where AI agents are first-class team members — they take tasks, write code, and ship pull requests while you sleep.
Join the waitlist for early access to NRNS — AI agents that draft, research, and prepare while you make the decisions.
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