Daily Outreach & Reporting Procedures
for
Leon Recovery, Nailed It, and CMFDH (NLC)
Contents
- 1. Purpose & Scope
- 2. Roles & Responsibilities (Nick – Erik – Jan)
- 3. Systems & Pipelines Overview
- 3.1 Zoho Pipelines
- 3.2 Supporting Tools
- 4. Global Daily Workflow (All Ventures)
- 4.1 Daily Rhythm
- 4.2 Activity Targets & Minimums (per Day)
- 5. Pipeline 1 – Leon Recovery Help Activity Status
- 5.1 Objective & Lead Sources
- 5.2 Daily Workflow for Jan (Leon)
- 5.3 Zoho Fields, Stages & Data Rules (Leon)
- 5.4 Follow-up Rules & Prioritization
- 6. Pipeline 2 – NailedIt Potential Clients Pipeline
- 6.1 Objective & Lead Sources
- 6.2 AI Prompting & Lead Scraping SOP (Gemini vs ChatGPT)
- 6.3 Daily Workflow for Jan (Nailedit)
- 6.4 Zoho Fields, Stages & Data Rules (Nailedit)
- 6.5 Follow-up Rules & Prioritization
- 7. Pipeline 3 – Potential CMFDH Investors Pipeline
- 7.1 Objective & Lead Sources
- 7.2 Investor Outreach Messages & Phone Follow-up
- 7.3 Daily Workflow for Jan (CMFDH)
- 7.4 Zoho Fields, Stages & Data Rules (CMFDH)
- 7.5 Follow-up Rules & Prioritization
- 8. Daily & 10-Day Checklist for Jan
- 8.1 Daily Checklist (All Ventures)
- 8.2 Ten-Day Completion Checklist (for Nick’s Review)
- 9. Reporting & Dashboards for Nick
- 9.1 Daily Report to Nick
- 9.2 Weekly Summary & “Best Prospects”
- 10. Automation vs Manual Work
- 11. The Magnet & The Spear – AI Lead-Gen Intelligence Framework
- 11.1 Overview
- 11.2 Operation SPEAR – Outbound Intelligence Engine (Nailedit)
- 11.2.1 Mission Brief
- 11.2.2 SPEAR Workflow
- 11.2.3 Field Lessons from SPEAR
- 11.2.4 SPEAR SOP Summary Table
- 11.3 Operation MAGNET – Inbound Vetting Engine (Levenstein.net)
- 11.3.1 Mission Brief
- 11.3.2 MAGNET Workflow
- 11.3.3 MAGNET Results
- 11.3.4 MAGNET SOP Summary Table
- 11.4 Human Intelligence Factor — The Core Lesson
- 11.5 Where Magnet & Spear Apply
- 11.6 Daily Requirements for Jan (Magnet/Spear Tasks)
- 12. Appendix – Prompting & File-Handling Instructions
- 12.1 Dropbox Path & NailedIt Prompting Instructions
- 12.2 Using Gemini vs ChatGPT
- 12.3 Example Outreach Template (CMFDH)
1. Purpose & Scope
This document defines daily outreach and reporting procedures for three key ventures:
Leon Recovery Help Activity Status (BringLeonHome.org)
Nailedit Potential Clients Pipeline (GetNailedIt.com)
Potential CMFDH Investors Pipeline (Levenstein.net / Nicholas Levenstein & Company)
The goal is that every day, for each pipeline, there is:
Real activity (emails, LinkedIn messages, phone calls); and
Clear reporting inside Zoho CRM plus a short written summary to Nick.
2. Roles & Responsibilities (Nick – Erik – Jan)
Nick
Sets the strategic priorities and approves final structure.
Reviews dashboards and daily/weekly reports.
Ranks Leon priorities and key investors.
Erik
Designs procedures, SOPs, and Zoho structure.
Maintains and refines these procedures.
Supports Jan on tricky cases and escalations.
Prepares monthly slides to present outreach work.
Jan
Executes the daily outreach across all three pipelines.
Keeps Zoho up to date (statuses, notes, follow-up dates).
Follows the daily and 10-day checklists in this document.
Flags blockers to Erik promptly.
3. Systems & Pipelines Overview
3.1 Zoho Pipelines
Jan must work every day in these three Zoho pipelines, navigate to “Reports” tab on ZOHO to find:
Leon Recovery Help Activity Status
Nailedit Potential Clients Pipeline
Potential CMFDH Investors Pipeline
Each pipeline is a separate board or view with stages as outlined in the pipelines.
3.2 Supporting Tools
LinkedIn / LinkedIn Sales Navigator
Used particularly for CMFDH investor lists and also for NailedIt contacts.
Outreach and follow-up communication for all three ventures.
Phone Calls
Follow-up verification and relationship building.
For each venture, the SOP requires phone follow-up after email/LinkedIn where possible.
LLMs (Gemini, ChatGPT)
Used for scraping, enrichment, drafting emails, and summarizing notes.
See Appendix 11 for prompt instructions and limits.
Dropbox
Stores procedures and prompting instructions, especially for NailedIt.
4. Global Daily Workflow (All Ventures)
4.1 Daily Rhythm
Morning (Start of Day)
Open Zoho and check:
Overdue follow-ups (all pipelines).
New leads added from scraping or Nick’s instructions.
Plan the day:
List which leads will be contacted today per pipeline.
Confirm that daily activity targets (below) are realistic.
Midday
Execute outreach:
Send LinkedIn messages & emails.
Make first round of phone calls.
Update Zoho after each contact.
End of Day
Complete Zoho updates:
Status, notes, next follow-up date.
Mark off the daily checklist (Section 8.1).
Send short daily summary to Nick (Section 9.1).
4.2 Activity Targets & Minimums (per Day)
These are minimums. If pipeline volume is high, Jan should exceed them.
Leon Recovery
Minimum 5 new or follow-up contacts engaged (email and/or phone).
All directed by Nick should be acted on same day or next day.
NailedIt
Minimum 10 leads processed:
Either newly scraped/enriched or followed up.
For each active lead: at least 1 outreach step (email or LinkedIn) and phone attempt when number is available.
CMFDH (NLC)
Minimum 20 LinkedIn messages per day (starting from Singapore Sales Navigator list) plus email/phone follow-up where contact data is available.
5. Pipeline 1 – Leon Recovery Help Activity Status
5.1 Objective & Lead Sources
Objective:
Communicate with new parties and existing contacts related to Leon Recovery, as directed by Nick, and maintain a clear activity trail in Zoho.
Lead sources may include:
Contacts provided directly by Nick (email, WhatsApp, call notes).
Scraped databases (legal, NGO, political, press).
Warm introductions (from investors, friends, lawyers, media).
5.2 Daily Workflow for Jan (Leon)
For each day:
Process Nick’s instructions
Review new names/organizations Nick has mentioned.
Check if they already exist in Zoho:
If yes: open the record, add a note, and schedule outreach.
If no: create a new contact/account and tag it appropriately (e.g., “Leon – Legal”, “Leon – Media”).
Outreach
Email: Send a structured email (template prepared separately by Erik/Nick) explaining Leon’s case and the specific ask (legal help, media attention, political support, etc.).
Phone:
Attempt at least one call to the main number (office or person).
If no answer: leave voicemail where appropriate and note in Zoho: “Called – no answer, voicemail left / no voicemail.”
Zoho Update
For each Leon contact:
Update:
Stage (e.g., New → Contacted → Warm → Supporting / Not Interested).
Last Contact Date.
Next Follow-up Date.
Notes summarizing call/email.
Prioritization
Use Nick’s ranking:
High priority: politicians, senior officials, key NGOs, major media.
Medium: mid-level staff, secondary NGOs, smaller media.
Low: generic info emails, unknown contacts.
Work high priority first and ensure they are not left without follow-up.
5.3 Zoho Fields, Stages & Data Rules (Leon)
Key fields:
Pipeline: Leon Recovery Help Activity Status
Stage: e.g.,
New
Contacted (Email/LinkedIn)
Phone Attempted
Warm / Engaged
Supporting / Active
Not Interested / Closed
Priority: High / Medium / Low
Last Contact Date, Next Follow-up Date
Owner: Jan (default) or Erik (if escalated)
Data rules:
No contact should sit in “New” for more than 1 working day.
Every Warm / Engaged contact must have a Next Follow-up Date set.
Add short, factual notes after each interaction.
5.4 Follow-up Rules & Prioritization
High priority contacts:
Follow up within 3–5 days if no reply.
Medium priority:
Follow up within 7–10 days.
Low priority:
Follow up as time allows; at least once after initial outreach.
6. Pipeline 2 – NailedIt Potential Clients Pipeline
6.1 Objective & Lead Sources
Objective:
Daily outreach to new potential partners/clients for NailedIt, with each contact receiving:
An email or LinkedIn solicitation, and
A phone follow-up (to the company if not the individual).
Lead sources:
Scraped websites/databases of developers, architects, GCs, villa agencies, etc.
Contact lists from events or previous outreach.
Contacts enriched via LLMs (email/phone discovery).
6.2 AI Prompting & Lead Scraping SOP (Gemini vs ChatGPT)
Dropbox path for NailedIt prompting instructions:
C:\Users\erikm\Nickolasteam Dropbox\Erik Diskin\ChicagoAccounting\venture\nailedit\procedure\prompting instrucitons
Core operational rules:
Gemini
Use for larger character blocks (e.g., big HTML pages, long tables, long lists of prospects).
Good for:
Extracting multiple leads from large text.
Summarizing long documents.
ChatGPT
Use for:
Drafting targeted outreach emails / LinkedIn messages.
Creating concise notes, checklists, and SOPs.
Important:
Break source material into smaller parts/chunks.
Do not push extremely large files or giant text blobs in a single prompt.
If working with a large file, split it into logical sections (e.g., 5–10 prospects per chunk).
Jan should always:
Read the prompting instructions in the Dropbox folder before a new scraping run.
Follow the recommended prompt structure for each tool.
6.3 Daily Workflow for Jan (Nailedit)
Identify Today’s Leads
From:
Yesterday’s scraping output.
New scraping session (if needed).
Ensure each lead exists in Zoho with:
Company name, website, role, location (if known).
Research & Qualify
Open the company website.
Categorize (developer, architect, villa agency, etc.).
Estimate potential project size if visible (small / medium / large).
Outreach
Email OR LinkedIn:
Send initial value-focused message introducing NailedIt.
Explain what problem NailedIt solves (costing, dashboards, etc.).
Phone Call:
Call main company number if individual number is not available.
Note outcome in Zoho (answered / no answer / wrong number).
Zoho Update
Pipeline: Nailedit Potential Clients Pipeline
Update:
Stage (New → Contacted → Follow-up Scheduled → Warm → Proposal Sent → Won/Lost).
Project Size (or estimated).
Last Contact Date, Next Follow-up Date.
Notes (what was sent, who you spoke to).
6.4 Zoho Fields, Stages & Data Rules (Nailedit)
Key fields:
Stage:
New
Contacted (Email/LinkedIn)
Phone Attempted
Warm / Interested
Proposal Sent
Won
Lost / Not Now
Project Size: Small / Medium / Large
Last Contact Date, Next Follow-up Date
Lead Source (Scraped, Referral, Event, etc.)
Data rules:
Each active NailedIt lead must show:
At least one outreach (email or LinkedIn).
At least one phone attempt (if phone exists).
6.5 Follow-up Rules & Prioritization
Warm / Interested:
Follow up within 3–4 days.
Proposal Sent:
Follow up within 5–7 days if no response.
Contacted but no reply:
One reminder email/LinkedIn after 7–10 days.
7. Pipeline 3 – Potential CMFDH Investors Pipeline
7.1 Objective & Lead Sources
Objective:
Daily outreach to potential investors for Crypto Money Fund Dollar Hedge (CMFDH) and NLC, with consistent reporting in Zoho.
Lead sources:
LinkedIn Sales Navigator lists (starting with “Singapore”).
Data scraping results (cross-use from NailedIt lists where appropriate).
Introductions and referrals from existing contacts.
7.2 Investor Outreach Messages & Phone Follow-up
Base message (from Nick’s template):
Hi [Name],
I manage Crypto Money Fund Dollar Hedge (https://www.levenstein.net/), a regulated crypto-derivatives fund with audited ~60% annualized returns over 6 years. Thought it’d be good to connect and exchange insights on digital-asset strategies.
Jan can adapt slightly per persona (family office, HNW, CIO, etc.), but must keep core points:
Regulated crypto-derivatives fund.
~60% annualized returns over 6 years (audited).
Offer to exchange insights / explore fit.
Phone follow-up:
Where a phone number is available:
Call once after connection / first message.
If serious interest: schedule a call with Nick.
7.3 Daily Workflow for Jan (CMFDH)
LinkedIn Messaging
Send at least 20 messages per day from the Sales Navigator (for example “Singapore” list), or other target lists that Nick approves.
Enrich Contact Info
Use Gemini/ChatGPT to search for email and phone.
Add details to Zoho:
Work email, phone number, company, role.
Email Outreach & Phone
For leads with email:
Send concise intro email (adapted from template).
For leads with phone:
Make one initial call; log outcome in Zoho.
Zoho Update
Pipeline: Potential CMFDH Investors Pipeline
Update:
Stage (New → Contacted → Call Scheduled → In Discussion → Committed / Declined).
Est. Investment Size or Category (e.g., <$250k, $250k–$1m, >$1m).
Last Contact Date, Next Follow-up Date.
Notes.
7.4 Zoho Fields, Stages & Data Rules (CMFDH)
Key fields:
Stage:
New
LinkedIn Contacted
Email Sent
Call Scheduled
In Discussion
Committed / Invested
Not Interested
Est. Investment Size:
< $250k
$250k–$1m
$1m
Last Contact Date, Next Follow-up Date
Priority (High, Medium, Low) based on investment potential.
Data rules:
Every CMFDH lead contacted must show at least one activity (LinkedIn message or email).
High-potential investors (>$1m) cannot sit without follow-up longer than 5 days.
7.5 Follow-up Rules & Prioritization
Committed / Invested:
Ensure handover to Nick for relationship management.
In Discussion:
Follow up at least every 7 days unless Nick says otherwise.
Contacted, no reply:
One reminder within 7–10 days.
Prioritize by Est. Investment Size and Nick’s ranking.
8. Daily & 10-Day Checklist for Jan
8.1 Daily Checklist (All Ventures)
At the end of each working day, Jan should be able to answer YES to:
Global
I checked all three pipelines in Zoho:
Leon Recovery Help Activity Status
Nailedit Potential Clients Pipeline
Potential CMFDH Investors Pipeline
I updated stages, notes, and next follow-up dates for all contacts I touched today.
Leon Recovery
I acted on all new Leon-related instructions from Nick.
I engaged at least 5 Leon contacts (new or follow-up) by email and/or phone.
Nailedit
I processed at least 10 NailedIt leads (new or follow-up).
For each active NailedIt lead contacted:
I sent an email or LinkedIn message.
I attempted a phone call if a number exists.
CMFDH
I sent at least 20 LinkedIn messages to potential CMFDH investors.
I enriched investor data (email/phone) for new CMFDH leads where possible.
I logged all investor interactions in Zoho.
Reporting
I prepared and sent a short daily summary to Nick (Section 9.1).
8.2 Ten-Day Completion Checklist (for Nick’s Review)
Over a 10-day block, Nick wants:
Clear evidence that:
The procedure is followed daily.
Phone calls are actually being made and logged.
The three pipelines show visible progress.
For each 10-day period, Erik and Jan should be able to show:
Zoho screenshots of:
Each pipeline with visible new contact counts and stage changes.
Activity logs:
Number of emails, LinkedIn messages, and calls per day per pipeline.
Examples of:
Best prospects identified (by size, project value, or Leon importance).
Short narrative:
What changed vs. previous 10 days?
Which channels worked best?
9. Reporting & Dashboards for Nick
9.1 Daily Report to Nick
Format: short email or chat message.
Include:
Headline:
“Daily Outreach – [Date] – Leon / NailedIt / CMFDH”
Metrics:
Leon: X contacts engaged, Y follow-ups, any big progress.
NailedIt: X leads contacted, Y calls, any warm prospects.
CMFDH: X LinkedIn messages, Y emails, Z calls, any serious investors.
Top 3 Items Nick Should Notice:
E.g., “Family office in Singapore wants a call next week,”
“Italian developer wants demo of NailedIt,”
“NGO lawyer agreed to review Leon documents.”
Blockers or Requests:
E.g., need intro from Nick, need additional slides, etc.
9.2 Weekly Summary & “Best Prospects”
Once a week:
Export or screenshot Zoho reports for:
NailedIt, Potential CMFDH, Leon.
Mark the top 5–10 “best prospects” in each:
CMFDH: by estimated investment size.
NailedIt: by project size.
Leon: by importance ranked by Nick.
10. Automation vs Manual Work
Automation possibilities:
Use Zoho workflows to:
Auto-create follow-up tasks after changing a Stage to “Contacted”.
Send reminders when Next Follow-up Date is today or overdue.
Use simple scripts/LLM flows for:
Parsing scraped data into CSV format for import to Zoho.
Manual work (cannot avoid):
Reading websites and deciding if a lead is good.
Talking to people on the phone.
Writing short custom notes and adjusting follow-up timing.
Erik should maintain a list for Nick:
“What is already automated”
“What is still manual”
as requested.
11. The Magnet & The Spear – AI Lead-Gen Intelligence Framework
11.1 Overview
The Magnet & Spear framework is the core AI-driven lead-generation strategy used across NailedIt, CMFDH, and selected Leon Recovery tasks. It combines two complementary AI models:
The Spear (Outbound Precision)
Hunts high-value, high-intent prospects by extracting actionable intelligence from public and semi-public data sources.
The Magnet (Inbound Attraction)
Filters inbound registrations and identifies accredited or highly relevant prospects using AI-driven vetting.
Together, these systems transform sales and outreach into a predictable, intelligence-driven process where:
AI performs the data grunt work → humans perform the conversations and conversions.
11.2 Operation SPEAR – Outbound Intelligence Engine (Nailedit)
11.2.1 Mission Brief
Source: Daily city permit feeds (Chicago, New York, San Francisco, Los Angeles).
Objective: Convert raw construction permit records into CRM-ready leads for NailedIt.
Tools: Python, Pandas, ChatGPT, Grok, Gemini.
Every construction permit is effectively a “breadcrumb” pointing to a potential developer, architect, contractor, or investor.
11.2.2 SPEAR Workflow
1. Data Extraction
Use scraping tools or existing datasets (developer-built scraper).
Export permit feeds into CSV.
2. AI Structuring (via Gemini or ChatGPT depending on size)
AI identifies:
Company names
Roles (developer, architect, main contractor)
Suggested CEO/decision-maker
Predicted emails & phone numbers
Drafts intro letters
Outputs CRM-ready formatted data
3. Human Validation (Jan)
Verify decision-makers
Check email/phone validity
Remove false positives
Ensure data matches company websites and LinkedIn
4. Outreach Execution
Email OR LinkedIn
Phone call to company if personal number is unavailable
Update all actions in Zoho
5. Zoho Sync
Move leads into correct stages
Set next follow-up date
Add call/email notes
11.2.3 Field Lessons from SPEAR
AI struggles with ambiguous names and multi-contractor projects
CRM (Zoho) filters out bad emails — human review required
Phone number accuracy always requires manual judgment
AI massively increases speed, but human intelligence closes deals
11.2.4 SPEAR SOP Summary Table
Step
Owner
Output
Scraping
Developer/Tools
Raw permit data
AI Processing
Gemini/ChatGPT
Structured CRM-ready data
Validation
Jan
Cleaned, verified listings
Outreach
Jan
Email/LinkedIn/Phone logs
Follow-up
Jan
Updated stages + notes
11.3 Operation MAGNET – Inbound Vetting Engine (Levenstein.net)
11.3.1 Mission Brief
Goal: Fill a room with only accredited or high-fit prospects.
Use Case: Events such as SiGMA, Singapore roundtables, Dubai investor sessions.
Results: 80+ registrants → AI screening → 58 confirmed accredited / high-value leads.
AI acts as a “bouncer” — filtering out low-value or irrelevant registrants before outreach begins.
11.3.2 MAGNET Workflow
1. Raw Registrant Intake
Export event sign-ups into CSV or spreadsheet
Feed into Gemini (best for large text)
2. AI Vetting Engine
AI performs:
LinkedIn profile reading
Biography interpretation
“Accredited Investor Probability” scoring
Fit indicators (finance experience, AUM, job role, credibility markers)
Categorizes into:
Invite
Review
Decline
Generates short “context briefs” for personalized outreach
3. Human Verification (Erik + Jan)
Review AI scoring
Approve final invitations
Ensure investment regulatory controls
Assign outreach tasks
11.3.3 MAGNET Results
Vetting time reduced 10×
Higher-quality conversations from the beginning
AI-generated briefs improved personalization
Conversion rate increased due to relevance
11.3.4 MAGNET SOP Summary Table
Step
Owner
Output
Data intake
Jan
Registrant export
AI Screening
Gemini
Ranked profile list
Verification
Erik
Final invite list
Outreach
Jan
Personalized outreach
Tracking
Jan
Zoho investor pipeline updated
11.4 Human Intelligence Factor — The Core Lesson
AI is the analyst.
Humans are the closers.
Key principles:
AI cannot replace human judgment, intuition, or follow-up persistence
Telemarketers / callers are essential (ensuring messages land)
Programmer built the permit-scraper, but AI removed the need for programmers in later steps
The real formula for success:
AI + Human + Feedback Loop = Conversion
11.5 Where Magnet & Spear Apply
Pipeline
Magnet
Spear
Explanation
NailedIt
No
YES
SPEAR extracts clients from city permits
CMFDH
YES
YES
Events use Magnet; investor hunting uses Spear
Leon Recovery
Limited
Limited
Used selectively for NGOs, lawyers, journalists
11.6 Daily Requirements for Jan (Magnet/Spear Tasks)
Jan must check:
New SPEAR datasets (permit extractions)
New MAGNET datasets (event registrations)
Import and validate leads
Convert AI results into Zoho entries
Perform outreach per SOP
Log all email, LinkedIn, and phone actions
Report daily intelligence highlights to Nick
12. Appendix – Prompting & File-Handling Instructions
12.1 Dropbox Path & NailedIt Prompting Instructions
Path:
C:\Users\erikm\Nickolasteam Dropbox\Erik Diskin\ChicagoAccounting\venture\nailedit\procedure\prompting instrucitons
Jan (and Erik) should:
Read this document before any new scraping or mass prospecting run.
Follow its recommended prompts and formats.
12.2 Using Gemini vs ChatGPT
Use Gemini when:
Input text is very long (large HTML pages, big CSV-like blocks).
You need to process many leads at once and extract:
Names
Companies
Roles
Emails/phones (if present)
Use ChatGPT when:
Drafting:
Outreach email templates.
LinkedIn approaches.
Summaries of calls or weekly reports.
Building SOPs, checklists, and documentation like this.
Always split input into manageable chunks, do not push giant text blocks in one go.
12.3 Example Outreach Template (CMFDH)
Base LinkedIn connection message:
Hi [Name],
I manage Crypto Money Fund Dollar Hedge (https://www.levenstein.net/), a regulated crypto-derivatives fund with audited ~60% annualized returns over 6 years. Thought it’d be good to connect and exchange insights on digital-asset strategies.
Email version can add:
One sentence of context (where you found them).
One sentence of call to action (e.g., “Happy to share our strategy deck or schedule a brief call next week.”).