Your GTM belongs in gitRegister
Cookbooks

Worked examples you deploy

Each cookbook is real CDK source. An agent installs it into your repository, adapts it to your stack, and stops at the plan.

Stage
For
01

Context

Deployed pipelines that keep context/ current: every recorded call, your website and the news, and won and lost deals.

Call capture

Turn your recorded calls into a go-to-market knowledge base: each recorded call is collected every morning, scribed into a log entry, and, once a claim repeats, promoted into context, as one pull request against your go-to-market repo. Nine recorders ship; a tenth is one adapter file.

Web capture

Keep your company context current from your website and competitors' pages: each Monday your site, competitors' pages and news about both land in context/ as one pull request; the first run seeds positioning, offerings, an inferred ICP with a disqualifier, competitors, clients and proof, and every later run adds a dated note of what changed, never editing an existing file.

Win loss review

Run a monthly win-loss review of your CRM's closed deals, landed in context/ as one pull request: the ICP verified against won versus lost with a disqualifier, dated insights with counts and denominators, objections from recorded lost reasons, and a client file per closed-won account; a five-line Slack digest says what changed. Never edits a persona, nor the ICP after the first pass.

02

Fundamentals

Deployed pipelines that build the base: the account universe, a standing score on every account, and the website.

TAM building

Build your total addressable market (TAM) list and stand it up as a deployed model in Cargo: your ICP, read from your context (or drafted from your website and customer stories), becomes an AI Ark company search setting industries, company size and countries, sized for free before it bills, and lands as one model other pipelines read.

Account scoring

Score every account against your ICP on a schedule: a deployed agent tiers each company in a Cargo model (tam-building's, or your CRM companies) A / B / C / disqualified against the ICP and rubric in workspace context, and the tier, a two-sentence reason and evidence are written onto the row and, optionally, the matching HubSpot or Salesforce company. New companies are tiered hourly; the book is re-scored weekly or on any window set.

Website building

Build and host your company website on your own domain with Cargo: a statically exported Next.js app, one defineApp with its www hostname, and a defineDomain that publishes the records and forwards the apex, changed only through reviewed pull requests.

03

Signals

Deployed pipelines that watch the market for the moment to reach out: who just took a role you sell to, and which public conversations are worth joining.

New hire detection

Get a Slack alert when a decision-maker joins a company in your ICP: a Sales Navigator job-change search watches your market for people who just took a role you sell to, an agent qualifies each one's new company against your ICP, and the fits are posted with verdict and links.

Social listening

Find the LinkedIn conversations worth joining every week: each Monday the week's public LinkedIn posts about the problem you solve are judged against your ICP, and one Slack digest lists the posts worth joining and the commenters who look like buyers, each quoted with a link.

Visitor identification

Identify which companies visit your website and what they read: Snitcher identifies the organisation behind each visit, two Cargo models keep the visiting companies and their sessions current, and the site loads the tracker only after a visitor accepts it.

04

Engagement

Deployed pipelines that hold the conversation: every demo request answered on the page, and an agent answering every lead who replies.

Inbound qualification

Qualify and route inbound demo requests from your website form: each submission runs a Cargo tool that identifies the company by work email, qualifies it against your ICP, lands the account and contact in the shared models, posts it to Slack, and answers with a booking link or a thank-you; an optional play then tiers and summarises each qualified contact.

Agentic engagement

Deploy an AI agent that holds email conversations with leads from a mailbox your workspace owns: a sending domain, a mailbox, native sendEmail and listEmailEvents on the agent, a native email trigger on reply and unsubscribe, and a heartbeat that checks thread status when nothing inbound happened.

05

Operations

Deployed pipelines that run the team: the daily recap, a brief before every external meeting, every promise made on a call, a weekly nudge on deals gone quiet, the weekly plan, the week's LinkedIn drafts, and one agent everyone can ask.

Standup

Post a daily go-to-market standup to Slack: every evening the day's go-to-market work is recapped into the cadence log and a digest is posted to Slack, as one reviewable pull request against your go-to-market repo.

Meeting prep

Post a Slack card for every external meeting the moment it is booked on anyone's Google Calendar: who is joining, the open deal, the line that mattered last time, one recent public event, and an opener grounded in your positioning, with reschedules and cancellations threaded under it.

Next step tracker

Track the next steps promised on sales calls and flag the overdue ones in Slack: every weekday morning each commitment made on a recorded call, by your team or the customer, is read from the call log, recorded once, closed when the activity log shows it was kept, and flagged once it falls due or goes overdue.

Stalled deal nudge

Flag stalled deals and nudge each rep with a drafted follow-up: every Monday each rep gets one Slack digest of their open deals that went quiet, with how long since the last logged activity, the line that activity left off on, why the deal is worth a touch now, and a follow-up drafted for them to send.

Weekly planning

Decide what the go-to-market team works on this week: every Monday last week's work is ranked against active initiatives, declared infra, and live runs, as one reviewable pull request per initiative, or one workspace pull request when there are none.

LinkedIn content

Draft LinkedIn posts every week from your own proof points: each Monday three post drafts for one author land in your go-to-market repo as one pull request, built only from what context/ and the cadence log already say, each with its hook and the files it draws on; nothing is ever published.

Ask Cargo

Ask your go-to-market repo and workspace anything from Slack: one agent the whole team @mentions answers from context, cadence and live runs, turns change requests into pull requests, captures a thread worth keeping into the cadence log and context, and hands work to the other deployed agents only after a go in the thread.

06

CRM

Deployed pipelines that keep an existing CRM in step with the engine: records filled, duplicate-free, and customers flagged before renewal.

CRM enrichment

Clean up and enrich a messy CRM: fill the missing identifiers on accounts and contacts first (LinkedIn, domain, email), write them back into blank fields only, then deduplicate on those identifiers with crm-deduplication. Keeps records filled and refreshes them when they go stale.

CRM deduplication

Deduplicate CRM accounts and contacts and keep them duplicate-free: audit company and person identity, run recurring deduplication plays directly on CRM models, merge safe exact matches, and route uncertain clusters to manual review.

Expansion signals

Find which customers are ready to expand before renewal: weekly, customers nearing renewal are judged for an expansion moment (won-deal cadence and last price, events such as funding, hiring, a new leader), with the signal and reason written onto the account and posted as one Slack digest.

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