Deep Plan: Apollo.io Free Trial Evaluation & Cold Outreach Data Pipeline

Metadata

Date: 2026-03-25
Last Updated: 2026-03-25
Status: Ready
Scope: Complex (strategic + operational)
Session Count: 1
Author: Claude Code, commissioned by Dmitri Sunshine

Executive Summary

Solanasis has an active Apollo.io free plan and needs to determine (a) whether Apollo’s data covers our ICP well enough to justify paying $49+/month, and (b) how to extract that data and operationalize it for cold outreach to SMB and nonprofit decision makers. This plan provides cheat sheets for both API and manual CSV workflows, a CRM import pipeline, outreach preparation steps, and a structured go/no-go decision framework — all designed to be executed within the free plan’s constraints (600 API calls/day, 10 export credits/month, 2 active sequences).

Context & Background

Current state: Extensive outreach planning exists (master playbook, ICP definitions, foundation pipeline with 5,684 prospects, fCTO pipeline with scored/enriched data). CRM is undecided (Baserow active for data, considering Matchkeyz/ERPNext). Domain warming in progress. Daily cadence target is ~5 cold emails/day.
Problem being solved: Apollo.io is the leading all-in-one prospecting + sequencing platform, but we don’t know if its data covers Colorado SMBs and nonprofits well enough. We need to pressure-test data quality, extract what’s useful, and build a repeatable outreach workflow — before committing $49-80/month.
Triggering event: Apollo.io free plan activated. Need to maximize evaluation before deciding on paid tier.

Document	Relevance
`playbooks/solanasis-cold-email-outbound-master-playbook-2026.md`	Canonical cold email reference — templates, sequences, deliverability
`playbooks/misc/solanasis_cold_outreach_stack_*` (3 files)	Research-grade Apollo vs. Clay/Wiza/Instantly analysis
`LinkedIn_SalesNav_ICP_Review_and_Questions.md`	ICP definitions, segment filters, gap analysis
`playbooks/Solanasis_Master_GTM_Playbook_2026.md`	North star metrics, revenue math, tool stack
`daily-outreach/OUTREACH-PIPELINE-POLISH-PROMPT.md`	Foundation pipeline data quality standards
`meeting-notes/voice-notes/2026-03-22 - Outreach CRM Strategy-summary.md`	CRM decision context (Supabase/Matchkeyz/ERPNext)
`solanasis-data/` repo	Existing prospect CSVs (foundation, fCTO, MSP segments)

Requirements

Must-Have (P0)

Data quality assessment — Test Apollo’s coverage for our exact ICP segments (CO SMBs 10-200 employees, nonprofits, foundations)
API cheat sheet — Step-by-step guide to get API key, test endpoints, understand credit consumption
CSV export cheat sheet — Manual export procedure maximizing the 10 credits/month
CRM import workflow — How to get Apollo data into our working data system (Baserow/CSV pipeline)
Go/no-go decision framework — Quantified criteria for whether to upgrade to Basic ($49/mo)

Should-Have (P1)

Sequence templates — 2 test sequences configured in Apollo (security assessment + DR verification)
Deduplication strategy — How to merge Apollo data with existing foundation/fCTO prospect lists
Deliverability checklist — Gmail-only constraint workaround, domain warming alignment

Nice-to-Have (P2)

Python automation script — API wrapper for programmatic data pulls (if API proves viable)
Zoho Flow/Zapier evaluation — Middleware cost-benefit for future CRM sync

Non-Requirements (Explicitly Out of Scope)

Building a full CRM system (separate decision tracked in voice note 2026-03-22)
Paid tier feature evaluation (focus is free plan only)
Rebuilding existing foundation/fCTO pipelines (those are working)
LinkedIn Sales Navigator integration (separate playbook exists)

Assumptions & Validation

#	Assumption	Validation Method	Status	Evidence
1	Apollo free plan includes API access	Research (API docs)	Validated	API available on all plans. Free: 600 calls/day, 50/min. API key created at Settings > Integrations > Apollo API
2	API calls consume credits like UI actions	Research (pricing docs)	Validated	Enrichment/reveal endpoints consume export credits (10/month on free). Search endpoints that return already-revealed data are free
3	10 export credits = 10 contacts exported to CSV	Research (export docs)	Validated	Each contact exported outside Apollo (CSV, CRM, API reveal) costs 1 export credit. Contacts already saved to Apollo lists don’t consume credits
4	Apollo covers SMB/nonprofit data in Colorado	Needs hands-on testing	Pending	Multiple sources warn SMB/nonprofit data quality is weaker than mid-market. Must test with actual searches
5	Gmail-only mailbox restriction on free plan	Research (integration docs)	Validated	Free plan only connects Gmail. Zoho Mail/Outlook require paid plan. Workaround: dedicated Gmail for cold outreach
6	Apollo can deduplicate against our existing lists	Needs testing	Pending	Upload feature exists (100K rows max). Need to test whether it matches and enriches without consuming all credits

Critical Assumptions (could break everything if wrong)

Assumption 4 is the make-or-break. If Apollo’s database has poor coverage of 10-200 employee Colorado companies and nonprofits, the entire platform is a non-starter regardless of features.

Architecture / Approach

Two-Track Evaluation Strategy

Track A: API Testing (Claude Code assisted)        Track B: Manual Evaluation (Dmitri in browser)
─────────────────────────────────────────────      ──────────────────────────────────────────────
1. Get API key                                      1. Run ICP searches in Apollo UI
2. Test search endpoints (free, no credits)          2. Evaluate data quality visually
3. Test enrichment on 2-3 known contacts             3. Export 10 best prospects via CSV
4. Assess data freshness + accuracy                  4. Build 2 test sequences
5. Build Python wrapper if viable                    5. Send test emails (5/day ramp)

Why two tracks: The API is useful for automation but the 10 export credit limit makes it impractical for bulk extraction on free. Manual evaluation in the browser gives you unlimited viewing (just can’t export). Use the API to validate data programmatically; use the browser to evaluate breadth and quality.

Phase 1: Apollo Account Setup & API Access (Day 1)

Cheat Sheet: Getting Your API Key

Log into Apollo.io
Click Settings (gear icon, bottom-left)
Go to Integrations > API
Click Create New Key
Name it solanasis-eval
Scope: Master Key (for evaluation; we’ll scope down later if we keep it)
Copy the key — you’ll only see it once
Store in Infisical: python C:\_my\_solanasis\infisical\manage_secrets.py set APOLLO_API_KEY <your-key> -f solanasis-data

Cheat Sheet: Free Plan Limits at a Glance

Resource	Limit	Resets	Notes
Email credits	~10,000/mo (corporate domain)	Monthly	”Unlimited” with fair use — reveals work emails
Mobile credits	5/mo	Monthly	Direct phone numbers
Export credits	10/mo	Monthly	CSV, CRM push, or API reveal
Data credits	100/mo (1,200/yr)	Monthly	In-app email/mobile reveals
API calls	600/day, 50/min	Daily/per-minute	Search endpoints don’t consume export credits
Active sequences	2	—	Enough for 2 test campaigns
Daily email send	250/day	Daily	Ramp slowly: start at 20/day

Pro tip: “Email credits” vs “export credits” vs “data credits” is the most confusing part. Here’s the simple version:

Viewing a contact in Apollo UI = free (unlimited browsing)
Revealing their email in Apollo = 1 data credit (100/month)
Exporting them to CSV or via API = 1 export credit (10/month)
Sending them an email via Apollo sequences = 1 email credit (effectively unlimited)

The bottleneck is export credits (10/month). You can see thousands of contacts but only take 10 outside Apollo.

Phase 2: Data Quality Assessment (Days 1-3)

This is the most important phase. Everything else depends on whether Apollo actually has good data for our ICP.

Test 1: SMB Coverage (Browser — Dmitri)

Run these exact searches in Apollo’s People Search:

Search A — Colorado SMB Decision Makers:

Location: Colorado
Company Headcount: 11-50, 51-200
Seniority: C-Suite, VP, Director, Manager
Title keywords: CEO, CTO, CIO, COO, “IT Director”, “Operations Director”, “IT Manager”
Industry: Information Technology & Services, Computer Software, Financial Services, Healthcare, Legal Services, Accounting

What to record:

Total results count
Scroll through first 50 results — what % have verified emails (green checkmark)?
What % have phone numbers?
Do you recognize any companies? Are the titles/people current?
Spot-check 5 contacts against LinkedIn — are they still at that company?

Search B — Colorado Nonprofits:

Location: Colorado
Company Headcount: 11-200
Seniority: C-Suite, Director
Title keywords: “Executive Director”, CEO, “Program Director”, CFO
Industry: Nonprofit Organization Management, Philanthropy, Civic & Social Organization

What to record (same checklist as above)

Search C — Foundation Decision Makers (cross-reference with existing pipeline):

Search for 5-10 foundations from our existing co_foundations_top50.csv
Can Apollo find the executive director? Is the email correct?
Compare to what we already have — is Apollo adding value or duplicating?

Test 2: Data Freshness via API (Claude Code)

Once you’ve stored the API key in Infisical, I can run a Python script that:

Searches for 5 known contacts (people you’ve already verified via LinkedIn)
Checks if Apollo returns correct company, title, and email
Compares Apollo’s data to our existing enriched CSVs
Reports accuracy score

This test is FREE — search endpoints don’t consume export credits.

Test 3: Intent Data Spot Check (Browser — Dmitri)

Go to Buying Intent in Apollo
Set your 1 free intent topic to: cybersecurity or IT services
Filter to Colorado, 11-200 employees
Record: How many companies show active intent signals? Are they real companies you’d want to reach?

Scoring Rubric — Record Your Results

Test	Score (1-5)	Notes
SMB contact coverage (% with verified email)	___	Target: 60%+ with verified email
SMB data freshness (spot-check accuracy)	___	Target: 80%+ still at listed company
Nonprofit coverage	___	Target: 40%+ with verified email (lower bar — nonprofits are harder)
Foundation cross-reference value-add	___	Target: Apollo adds email/phone we don’t already have for 50%+
Intent data signal quality	___	Target: At least 10 real companies showing intent
Overall	___/25	15+ = proceed to paid. 10-14 = maybe. <10 = skip Apollo

Phase 3: Data Extraction — Two Paths

Path A: Manual CSV Export (Recommended for Free Plan)

You have 10 export credits/month. Use them strategically.

Cheat Sheet: Maximizing 10 Exports

Don’t export during evaluation. Use your first week just searching and assessing. Don’t spend export credits until you’re confident the data is good.
Cherry-pick your 10. Only export contacts that:
- Have verified emails (green checkmark)
- Match your ICP exactly (right title, right company size, Colorado)
- Are NOT already in your existing pipeline CSVs
- You plan to actually email within the next 2 weeks
Export procedure:
- Select contacts (checkbox)
- Click Export > Export to CSV
- Choose fields: First Name, Last Name, Email, Title, Company, Company Size, Industry, LinkedIn URL, Phone
- Download the CSV
- Save to: C:\_my\_solanasis\solanasis-data\apollo\exports\apollo_export_YYYY-MM-DD.csv

Pro tip: You can VIEW unlimited contacts without exporting. Take screenshots or manually copy the 10 best contacts’ info into a spreadsheet — this doesn’t consume credits. Yes, it’s manual and tedious. That’s the free plan trade-off.

Path B: API-Assisted Search (No Export Credits Needed)

The search API returns contact data WITHOUT consuming export credits — but email addresses are partially masked (e.g., j***@company.com). Still useful for:

Building prospect lists with company info, titles, and LinkedIn URLs
Identifying which contacts are worth spending export credits on
Cross-referencing against existing pipeline data

API Search Template (Python):

"""
Apollo.io API search — free plan safe (no export credits consumed).
Returns contacts with masked emails but full company/title data.
 
Usage: python apollo_search.py
Requires: APOLLO_API_KEY in Infisical (solanasis-data folder)
"""
import json
import subprocess
import sys
 
try:
    import requests
except ImportError:
    print("pip install requests")
    sys.exit(1)
 
BASE_URL = "https://api.apollo.io/v1"
 
def get_api_key():
    """Pull API key from Infisical."""
    result = subprocess.run(
        ["python", r"C:\_my\_solanasis\infisical\manage_secrets.py",
         "get", "APOLLO_API_KEY", "-f", "solanasis-data", "--plain"],
        capture_output=True, text=True
    )
    return result.stdout.strip()
 
def search_people(api_key, params):
    """Search Apollo contacts. Does NOT consume export credits."""
    headers = {"Content-Type": "application/json"}
    payload = {
        "api_key": api_key,
        **params
    }
    resp = requests.post(f"{BASE_URL}/mixed_people/search", json=payload, headers=headers)
    resp.raise_for_status()
    return resp.json()
 
# ── ICP Search: Colorado SMB Decision Makers ──
SEARCH_PARAMS = {
    "person_locations": ["Colorado, United States"],
    "person_seniorities": ["c_suite", "vp", "director"],
    "person_titles": ["CEO", "CTO", "CIO", "COO", "IT Director",
                      "Operations Director", "IT Manager"],
    "organization_num_employees_ranges": ["11,50", "51,200"],
    "page": 1,
    "per_page": 25
}
 
if __name__ == "__main__":
    key = get_api_key()
    if not key:
        print("ERROR: Set APOLLO_API_KEY in Infisical first")
        sys.exit(1)
 
    results = search_people(key, SEARCH_PARAMS)
 
    total = results.get("pagination", {}).get("total_entries", 0)
    people = results.get("people", [])
 
    print(f"\n{'='*60}")
    print(f"Total matches: {total}")
    print(f"Showing: {len(people)}")
    print(f"{'='*60}\n")
 
    for p in people:
        org = p.get("organization", {}) or {}
        print(f"  {p.get('name', 'N/A'):30s} | {p.get('title', 'N/A'):30s}")
        print(f"  {org.get('name', 'N/A'):30s} | {org.get('estimated_num_employees', 'N/A')} employees")
        print(f"  Email: {p.get('email', 'MASKED/NONE'):30s} | LinkedIn: {p.get('linkedin_url', 'N/A')}")
        print(f"  {'─'*70}")

Rate limit safety: At 600 calls/day and 25 results/page, you can page through 15,000 contacts/day without hitting limits. Plenty for evaluation.

Phase 4: CRM Import & Deduplication

Current Data Landscape

Source	Records	Status
Foundation pipeline (`solanasis-data/foundation/`)	5,684 (230 email, 5,454 phone-only)	Active, scored, enriched
fCTO pipeline (`solanasis-data/fcto/`)	~200+	Active, scored, enriched
MSP pipeline (`solanasis-data/msp/`)	TBD	Directory exists
Apollo.io (new)	TBD	Evaluation in progress

Import Workflow (CRM-Agnostic)

Since the CRM decision is still pending, standardize Apollo data into the same CSV format used by existing pipelines:

apollo_export_standardized.csv columns:
─────────────────────────────────────────
first_name, last_name, email, phone, title, company_name,
company_size, industry, linkedin_url, city, state,
source (= "apollo"), date_added, segment, score

Deduplication logic:

Match on email (exact match — primary dedup key)
Match on first_name + last_name + company_name (fuzzy match — flag for review, don’t auto-merge)
Apollo data fills gaps in existing records (e.g., we have name/company but Apollo adds verified email)
Never overwrite existing enriched data with Apollo data — Apollo supplements, doesn’t replace

Where to store: solanasis-data/apollo/standardized/apollo_contacts_YYYY-MM-DD.csv

Future CRM Import

When CRM is decided (Baserow/Matchkeyz/ERPNext), the standardized CSV is the import source. No Apollo-specific CRM integration needed at this stage.

Phase 5: Cold Outreach Preparation via Apollo

Sequence Strategy (2 Free Slots)

Sequence 1: Reg S-P Readiness (Financial Advisors / RIAs)

Step	Day	Type	Template
1	Day 0	Email	”June 3 — 10 weeks to Reg S-P compliance” — reference SEC deadline, ask if gap analysis is done
2	Day 3	Manual	LinkedIn connection request
3	Day 7	Email	Specific Reg S-P requirements (incident response, 72-hr vendor notification)
4	Day 14	Email	Quick question about their incident response plan
5	Day 21	Email	Graceful exit with calendar link

Sequence 2: Security Assessment / DR Verification (SMB + Professional Services)

Step	Day	Type	Template
1	Day 0	Email	”When was your last real restore test?” hook
2	Day 4	Manual	LinkedIn connection request
3	Day 8	Email	Industry-specific stat (attorneys: ABA 34% IRP rate; CPAs: FTC $100K penalties)
4	Day 15	Email	Free 30-min assessment offer
5	Day 22	Email	Graceful exit with calendar link

Gmail Mailbox Setup (Confirmed)

Solanasis is on Google Workspace. A separate solanasis.com Google Workspace has been warming since ~early March 2026 specifically for cold outreach. This is the mailbox to connect to Apollo.

Setup:

Connect the cold outreach solanasis.com workspace Gmail to Apollo (Settings > Email)
Verify it appears as the sending mailbox in sequence settings
Confirm the “From” name and reply-to address look professional

Why separate domain (not subdomain): Dmitri chose a fully separate domain over a subdomain approach. This provides maximum reputation isolation — if cold emails get flagged, the primary business domain is completely unaffected.

Deliverability Checklist (Before Sending a Single Email)

SPF record configured for sending domain
DKIM record configured for sending domain
DMARC record set (at minimum p=none for monitoring)
Sending mailbox has been “warmed” for 2+ weeks (send/receive normal emails)
Apollo email sending limit set to 20/day initially (not 250)
Custom tracking domain configured in Apollo (avoids shared tracking domain penalties)
Test email sent to yourself — check it doesn’t land in spam
Unsubscribe link included in all sequences (CAN-SPAM compliance)

Phase 6: Go/No-Go Decision Framework

When to Decide

Decision date: 2 weeks after starting evaluation (around April 8, 2026)

This gives enough time to run all data quality tests and send a small test batch through sequences.

Decision Criteria

Criterion	Threshold for GO	Threshold for NO-GO	Weight
SMB verified email rate	60%+ of search results	<40%	30%
Data freshness (spot-check)	80%+ still at listed company	<60%	25%
Nonprofit/foundation coverage	40%+ with verified email	<20%	20%
Value-add over existing data	Apollo adds data we don’t have for 50%+	<25%	15%
Sequence email deliverability	90%+ delivered, <5% bounce	>10% bounce	10%

Scoring

18-25 points: GO — Upgrade to Basic ( $49/ m o ann u a l or$ 59/mo monthly). Budget $20-30/mo for Zapier/Zoho Flow when CRM is ready.
12-17 points: CONDITIONAL GO — Apollo is decent but not transformative. Use free plan for search, keep existing pipelines for outreach execution.
<12 points: NO-GO — Apollo’s data doesn’t cover our ICP well enough. Stick with existing pipelines (foundation/fCTO scripts) and consider alternatives (Hunter.io for email verification, Instantly or Smartlead for sequencing).

Alternative Stack if NO-GO

If Apollo doesn’t pass muster, the recommended stack based on existing research:

Function	Tool	Cost	Status
Email finding/verification	Hunter.io ( $49/ m o) or Wi z a ($ 83/mo via Sales Nav)	$49-83/mo	Research done
Sequencing/sending	Instantly ( $30/ m o) or S ma r tl e a d ($ 39/mo)	$30-39/mo	Research done (see stack analysis docs)
Enrichment	Clay (pay-per-use)	~$50/mo at low volume	Research done
CRM	TBD (Baserow for now)	Free-$20/mo	Pending

Implementation Sequence

#	Task	Who	Depends On	Effort	Timeline
1	Create API key, store in Infisical	Dmitri	None	10 min	Day 1
2	Run ICP searches in browser (Tests 1-3)	Dmitri	None	45 min	Day 1
3	Record data quality scores in rubric	Dmitri	Task 2	15 min	Day 1
4	Run API search script for cross-reference	Claude	Task 1	15 min	Day 1-2
5	Set up Gmail mailbox for Apollo	Dmitri	None	30 min	Day 1-2
6	Configure SPF/DKIM/DMARC for sending domain	Dmitri	Task 5	30 min	Day 2
7	Start mailbox warming (2-week period)	Auto	Task 5, 6	Passive	Day 2-16
8	Build Sequence 1 (security assessment) in Apollo	Dmitri/Claude	Task 2 (data quality OK)	30 min	Day 3-5
9	Build Sequence 2 (DR verification) in Apollo	Dmitri/Claude	Task 8	30 min	Day 3-5
10	Export 10 cherry-picked contacts to CSV	Dmitri	Task 2, 3 (scores acceptable)	15 min	Day 7+
11	Standardize and deduplicate Apollo export	Claude	Task 10	15 min	Day 7+
12	Send first test batch (5 emails) via sequence	Dmitri	Task 7 (warming), 8, 10	10 min	Day 14+
13	Evaluate deliverability and response	Dmitri	Task 12 + 3 days	15 min	Day 17+
14	Score go/no-go rubric, make decision	Dmitri	Tasks 3, 13	20 min	Day 14-17

Total active effort: ~4-5 hours over 2 weeks (most time is passive mailbox warming)

Risks & Mitigations

Risk	Likelihood	Impact	Mitigation
Apollo data quality poor for SMBs/nonprofits	Medium	High	Test before spending export credits. Existing pipelines are fallback.
Free plan API changes or rate limit tightening	Low	Medium	Store any useful data immediately. Don’t build automation you can’t run.
Gmail-only restriction blocks our sending domain	Medium	Medium	Dedicated Gmail or Google Workspace alias. Keep cold outreach separate.
Mailbox gets flagged as spam during testing	Low	High	Start at 20/day max. Use custom tracking domain. Follow deliverability checklist.
10 export credits wasted on bad contacts	Medium	Low	Don’t export until data quality is validated. Use manual copy for evaluation.
Credit model changes on upgrade	Low	Medium	Confirm exact credit allocation before entering payment info.

Quality Checks

KIS: Two-track approach (API + manual) is simple and pragmatic
DRY: Reuses existing ICP definitions, pipeline formats, email templates from master playbook
Catch-Early: Data quality tested BEFORE spending credits or building sequences
Error Handling: Go/no-go framework prevents sunk cost trap
Security: API key stored in Infisical, no credentials in docs
Test Strategy: Structured rubric with quantified pass/fail thresholds
Rollback: Free plan — walk away at zero cost if data quality fails

Open Questions

#	Question	Priority	Status	Answer
1	~~Is Solanasis on Google Workspace?~~	~~High~~	Resolved	Yes — Google Workspace for primary email. Separate solanasis.com workspace warming for cold outreach since ~early March 2026.
2	Which CRM will we land on?	Medium	Pending (separate decision)	Plan is CRM-agnostic; standardized CSV is the bridge
3	~~Should we use `outreach.solanasis.com` subdomain?~~	~~Medium~~	Resolved	No subdomains. Using separate solanasis.com Google Workspace domain for cold outreach. Domain isolation via separate workspace, not subdomain.
4	Apollo free plan duration — is it truly indefinite?	Low	Validated — yes, it’s a permanent free tier	No time pressure on evaluation

Decision Log

Decision	Rationale	Date
Two-track evaluation (API + manual)	API alone is hobbled by 10 export credits; manual alone doesn’t scale. Both together maximize free plan value.	2026-03-25
CRM-agnostic standardized CSV	CRM decision is pending. Standardized CSV bridges any future CRM choice.	2026-03-25
2-week evaluation period	Aligns with mailbox warming timeline. Enough time for data quality testing without dragging.	2026-03-25
Sequence 1 = security assessment, Sequence 2 = DR verification	These are Solanasis’s two strongest opening offers per master playbook analysis.	2026-03-25

Scratchpad

Key Insight from Research

Apollo’s credit system is confusing by design — it obscures the real cost. On free plan, the bottleneck is export credits (10/month), not email credits or API limits. The strategy should be: use Apollo as a prospecting database and sequence engine (both work fine on free), and only export the cream of the crop.

Alternative Approaches Considered

Option A: All-in on Apollo API automation — Rejected because: 10 export credits/month makes API enrichment impractical on free plan. Would revisit on Basic tier.
Option B: Skip Apollo, use Clay + Instantly — Rejected because: Clay is pay-per-use (expensive for evaluation) and Instantly has no database. Apollo’s all-in-one approach is simpler to evaluate.
Option C: Use Apollo’s Chrome extension on LinkedIn — Worth doing IN ADDITION to the plan above. The extension lets you prospect directly from LinkedIn profiles without burning Apollo search credits. Add this to daily workflow.

References

Apollo.io Cheat Sheets (companion doc): playbooks/apollo-io-cheat-sheets-2026-03-25.md — ICP search filters, sales cycle analysis, sequence templates, Q2 2026 priority matrix
Apollo API docs: https://docs.apollo.io/reference/
Apollo knowledge base: https://knowledge.apollo.io/
Existing stack analysis: playbooks/misc/solanasis_cold_outreach_stack_sales_nav_apollo_clay_reddit_thread_analysis_handoff_research_grade_2026-03-18.md
Cold email master playbook: playbooks/solanasis-cold-email-outbound-master-playbook-2026.md
Foundation pipeline status: daily-outreach/PIPELINE-POLISH-STATUS.md

Planning Mode Confirmation

NO code files were modified during planning
ONLY this planning document was created
All research was read-only
Quality checks validated for each component

Solanasis Docs

Explorer

deep-plan-apollo-evaluation-outreach-2026-03-25