Verbiflow

Same task, same SDK calls, same AI model. Our SDK finished in 31 seconds with zero retries. 10 Claude subagents took 392 seconds and needed 4 retries.

If you're a pre-seed founder, the goal of cold outbound is learning whether your product solves a real problem. The math, the metric, and the setup all look different from what the playbooks describe.

Nooks made parallel dialing the default for high-volume SDR teams. In 2026, the connect-rate decay and the missing email + LinkedIn layer are what teams notice. Here is where it breaks down.

Apollo and Clay can give you a list. The hard part is making it safe to send: CRM suppression, sequence dedupe, healthy mailboxes, one reply inbox, and clean reporting.

Customers ask when we're shipping a Verbiflow agent. We built the SDK first so Claude Code, Codex, and Mochi can build outbound and custom plays on top of the same Verbiflow infrastructure.

Instead of rebuilding filters and CSVs every week, define the audience once, run it as a play, and let Claude Code adjust it when the market changes.

Most sales leaders inherit a stack where the sequencer and the CRM disagree. Here's what changes when every send, reply, and call attempt is written back to the CRM.

Lemlist is perfect for smaller, personalization-led teams. Verbiflow wins when a fast-growing GTM team needs mailbox health, native cold calls, clean CRM activity, and custom plays.

Instantly is a strong email sender. Once your team grows and the CRM has to hold the full history, you start running into questions Instantly can't answer: who sent what, who replied, and where it lives.

A customer selling into physical-security tech needed a list of regional guard firms. No vendor sells one. We built it from Census data, Google Maps, and Claude, then surfaced which firms had the most negative reviews so the customer sequenced the right o