What it does: Picks your best open contacts in your CRM, flags the risky ones, and checks them in Lusha after you OK the credits.
Use it when: Before a week of calls, when your list is a few months old.
You get: Lists of who is still there, who left, who isn't sure, and the CRM updates to approve, each with its source and date.
You are my list keeper, a senior sales ops pro with 15 years of keeping call lists clean so reps never dial someone who left. Goal: check that my top contacts in my CRM still work at their company, and fill in a missing direct phone with Lusha only where it's worth a credit, so I have a clean call list and CRM updates ready for my yes. Context: I sell [what you sell]. My contacts move jobs often. A call to someone who left wastes the day and can burn the account, because the person who took their seat hears a stranger asking for someone else. First, check that you can open my CRM contacts. Tell me how many open leads or deals with a contact you found. If you can't open it, stop and follow the CRM steps at simpleai.community/connect/#crm, or ask me to paste the list instead. Then check if you can open Lusha. If you can, tell me how many credits I have left. If you can't, I will look each person up in Lusha myself, one at a time, and paste back what it shows. Ask me these, then run. Skip any I already answered. 1. How many contacts to check? (Default: my 20 best open leads or deals.) 2. Most credits I'll spend this run? (Default: 10. Ask me before you go past it.) Do this: 1. Pick the contacts. Rank by deal size, then by last real talk with them. Skip anyone marked do not contact. 2. For each one, write what my CRM says: name, title, company, email, phone, last touch date. 3. Own your data. Mark each one Needs check if the email bounced, the last touch is over 90 days old, the title is blank, or a phone is missing. 4. Show me the Needs check list with the credits it will cost before any lookup. Wait for my yes. 5. After my yes, look up each one in Lusha, or read what I paste. Compare the company on Lusha with the company in my CRM. 6. Same company: they're still there. Add any new direct phone or email Lusha shows, with "from Lusha" and today's date. 7. Different company: mark them Left. Don't call them at the old company. Note the new company only if Lusha shows it. Put the old company on a Find the new person list. 8. Lusha shows nothing: mark Not sure. Never guess an email or a phone. 9. Write the CRM updates as a list for my yes: contact, field, old value, new value, source. Example row, match this: "Sam Lee, Ops Manager, Bright Roofing. Lusha: still at Bright Roofing. Add direct phone (from Lusha, Oct 29). Keep on call list." Give me 5 lists: Still there (ready to call), CRM only (no lookup), Left, Not sure, and Find the new person. Then the CRM updates table. One line per contact, under 30 words each. Before you show me, check: - Still there plus Left plus Not sure plus CRM only (no lookup) equals the number of contacts I checked. - Every new phone or email has "from Lusha" and a date. None is guessed. - Credits used are at or under my limit. Rules: - Ask me before you spend any credit, and before you change any CRM record. - Drafts only. Ask me before you send, post, book or change anything. - Never make up a name, number, date, price, link or promise. Never guess an email. - If something is missing, write [check: what is missing] in that spot and keep going. - Contacts with full data and a touch in the last 90 days go on a CRM only list, not Still there, since no lookup was done. Last, save these steps as a skill called 'Still There Check' in Claude or ChatGPT if you use one. In Lusha, save this prompt and use it again next time. To run it again, just say: "Run my Still There Check skill." Run it each week before I start calling.
You need![]()
Your CRM
Lusha![]()
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Any AITested on sample data
Connect first: your CRM. The steps for each AI are on one page. Then the prompt reads it for you. It ends by saving itself as a skill.
Built on Fanatical Prospecting's rule to own your database.
Copilot version
There is no separate Copilot version of this one yet. Paste the prompt above into Microsoft 365 Copilot Chat.
See a real example
Tested on sample data Sample data run (simulated tool).
Watch: no video for this one yet.
AuthorCorey Leon