How Profound solved post-sales admin, accelerating GTM

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Net 30: AI summit for finance leaders

Invite-only evening at The Times Center on October 21 will convene 150 CFOs, operators, founders and researchers

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Why We Moved Monk From Vercel/Supabase to AWS

We recently moved fully onto AWS for more control over security, so we can keep raising the bar as we grow.

Engineering

Why We Moved 100+ Workflows to Temporal, One Reversible PR at a Time

How Monk moved 100+ live workflows from Inngest to Temporal with no freeze, no rewrite, and no downtime.

Engineering

Boring Agents by Design: How Monk Builds Reliable Agents for AR

Most teams say AR can't be automated without hurting relationships. How Monk builds reliable, boring agents: opinionated design, tests, and guardrails.

Engineering

The Hard Part of Cash Application Is User Intent

AI-powered cash application that resolves partial payments, overpayments, batch remittances, and short pays automatically. Built for mid-market AR teams.

Engineering

Building a Codebase for Humans and Agents

How the Monk engineering team structures their codebase to give AI agents the context they need to do their best work

Engineering

How We Build: Duplication vs Premature Abstractions

Most teams abstract at the first sign of duplication. We copy code until we see the pattern three times, then extract the right abstraction. Wrong abstractions cost more than duplication, but right abstractions cost less than both, so we wait until the pattern is obvious before building.

Engineering

Our Approach to Evals at Monk

How the Monk platform uses evals to maintain performance

Engineering