Vertiqa is the system of record your AI's work lands in — every contact, project, and promise on one timeline — plus an engine that flags what's slipping and drafts the repair. Claude builds at startup speed; the session ends; Vertiqa is what remembers.
Real demo orgs, seeded data, no sales call. They're service businesses today — same engine, different vocabulary; the founder-flavored walkthrough is a founder's Tuesday. Setup is connecting your email — capture starts immediately. Pricing is public →
AI compressed execution: a prospect list in an afternoon, an outreach sequence in minutes, an MVP in a week. But session-scoped AI forgets. The follow-up cadence lives in a spreadsheet. The promise to a beta user lives in your head. The investor recap you meant to send last Tuesday lives nowhere at all.
Claude drafts 12 outreach emails
4 replies · 3 promised follow-ups
Session closed. The promises live nowhere.
Anthropic’s Founder’s Playbook (May 2026) remaps the startup lifecycle around three Claude surfaces — each a powerful doing engine whose outputs are session-scoped. Vertiqa is where that work lands, accumulates, and gets finished. We map to Claude here because it's what we build with — but Vertiqa captures any AI tool's output the same way.
Quick thinking, sanity checks, and brainstorms — the judgment layer beside the founder.
What slips: The decision lives in a transcript you’ll never reopen.
Knowledge work and workflow automation: research, outreach, scheduling, synthesis, recurring ops.
What slips: Outputs land in a downloads folder, not a system that acts on them.
Building and shipping the product itself — from MVP to scaled codebase.
What slips: The fix ships, but the customer who reported it never hears back.
The prospect list Cowork just built doesn't get re-typed into a tracker — it becomes contacts and opportunities directly, over Vertiqa's MCP server. Use Claude as the hands and Vertiqa catches the work; or use Vertiqa's own agents when you want it born captured. Either way the drift engine watches every loop end-to-end, so nothing the AI started gets lost between sessions.
The same operating system carries you from your first cold outreach to a governed, auditable growth engine — mapped to the Playbook’s four stages, without ever swapping tools.
Prospects your AI finds become contacts with cohort tags. Outreach drafts wait in your approval inbox — review, approve, send; every message logged with its sequence step. Interviews book through built-in scheduling.
Exit criterion: problem–solution fit
Every "we'll fix that for you" is a tracked Commitment. Feedback, bugs, and feature requests flow into one timeline per relationship — not scattered across a dozen threads.
Exit criterion: product–market fit
One prioritized queue — approvals, due commitments, unanswered customers, blocked projects, failed runs. Each item says why it matters and what to do next.
Exit criterion: ops run without founder bottlenecks
Governed pipelines, approval lifecycles on anything that moves money, hand-offs that survive your first ops hires, a full audit trail, and budgets on every agent.
Exit criterion: systematic, auditable growth
Email, forms, voice, and your AI tools' outputs flow into governed kernels — contacts, deals, projects, commitments — with provenance on every record.
The drift engine compares what's happening to what you intended. Five loops ship today — hardened in service businesses where a dropped thread is lost revenue. You get the same engine. Noisy rules demote themselves — alerts stay worth reading.
Every repair arrives as a proposed action: a draft plus a task, queued for one-tap approval in the same queue as everything else.
Human approval gates on every outbound message — structural, not configurable away.
No silent stalls; failed runs surface in ≤15 minutes with retry / cancel.
Every action logged, every record org-scoped. Full audit trail by default.
Per-tenant and per-agent budgets with warn / defer enforcement.
Cross-links
Each agent is governed by approval and memory. See what it does on the Vertiqa OS.
Vertiqa's Prospect Research scores an account against your ICP, cites every claim, and flags pending verification — enrichment waits until a human approves.
See it on the Vertiqa OSVertiqa's Outreach Writer drafts personalized Day 0, Day 4, and Day 9 emails plus LinkedIn notes — every send reviewed and approved before it leaves your org.
See it on the Vertiqa OSStart with one loop — promise tracking, discovery outreach, or investor follow-up — and let Vertiqa prove nothing drops.
Prefer the hour-by-hour story? Read a founder's Tuesday on Vertiqa → Or check pricing first — it's public.
CRM is one of its kernels, not the product. Vertiqa is a system of record — contacts, deals, projects, and commitments on one timeline — plus a drift engine that compares what is happening against what you intended and proposes repairs. The CRM parts exist so follow-through has something to attach to.
No. This page maps Vertiqa to Claude’s surfaces because that is the stack we build with, but the MCP server works with any MCP-compatible client, and capture is tool-agnostic: connected email and calendar, forms, voice, WhatsApp, and agents that run inside Vertiqa. Output from any AI tool lands the same way.
Three ways today. Connect Claude — or any MCP client — to Vertiqa’s MCP server, sign in with your Vertiqa account, and your AI creates contacts, opportunities, tasks, and notes directly: the lead list it just researched becomes records, not a CSV in your downloads folder. Connect your email and calendar, and threads and meetings are captured automatically. Or use Vertiqa’s built-in agents — Prospect Research, Outreach Writer — whose drafts are created inside the system, queued for your approval.
No — structurally. Every outbound message sits behind a human approval gate. That is not a setting you can toggle off; it is how the send path is built.
Those tools store what you put in them; none of them notice what is missing. Vertiqa’s drift engine compares state against intent — a promise with no task, an intro that never got a follow-up, a thread that went quiet — and shows up with a proposed fix. Memory is recall. Follow-through is enforcement.
You do. Every record is scoped to your organization with tenant isolation and a full audit trail, and the API and MCP server let you pull your records out anytime. Your relationship history is the asset you are building — Vertiqa’s job is to keep it, not hold it hostage.
Connect your email and calendar and capture starts immediately — the follow-through loops run with defaults and surface proposed repairs in your queue, with no rule-building required to start. Connecting Claude to the MCP server is a one-time config entry and a sign-in with your Vertiqa account.
Anthropic, May 2026 — the source this page maps Vertiqa’s loops against. An independent mapping by the Vertiqa team; not affiliated with or endorsed by Anthropic.