# OperatorIQ

OperatorIQ is the work of Christine Johnson, a five-year founder in AI and quantum software. She is the founder of Ingenii, an AI and quantum incubator currently commercializing several research projects into independent ventures, and built the OperatorIQ Blueprints from the operational stack she needed to run that layer across the incubator's portfolio. She is explicit that she is not an engineer; she is a commercial and product leader. Prior to Ingenii she was Head of Commercial at Hentsu, a cloud-computing consulting firm serving hedge funds, where she packaged the team's software into recurring-revenue motions. That packaging-and-commercialization pattern is the through-line behind everything OperatorIQ ships. Each Blueprint is the architecture she runs today across Ingenii's ventures, packaged so other founders can save the same amount of iteration she already paid for. The Blueprints don't remove the need to fine-tune for your business; they remove the foundational iteration cycle that costs weeks. Read the full build story at https://operatoriq.io/about/.

## Products

- [Agentic AI Sales Blueprint](https://buy.stripe.com/6oU7sMdU99x2f0N7Fybwk0j) — Nine coordinated agents that handle daily prospect research, cold-email drafting in your voice, five-step follow-up cadence, CRM hygiene, and reply triage. Approval gate before every send. 20-minute setup. $97 one-time.
- [Agentic AI Live Dashboard Blueprint](https://buy.stripe.com/4gM9AU7vL9x22e1bVObwk0i) — 20-page blueprint for self-refreshing artifact dashboards. Eight hub-tab templates (pipeline, project, customer health, weekly metrics, hiring, support, content, finance). Seven reusable build patterns. Dashboards that pull live data every time you open them instead of requiring manual updates. $97 one-time.
- [Bundle — Sales + Live Dashboard](https://buy.stripe.com/6oU14o7vLcJeaKxf80bwk0h) — Both flagship blueprints together. $147 one-time (saves $47).
- Agentic AI Content Marketing Blueprint — Trend research, faceless video pipeline, auto-distribution, newsletter automation. Coming soon. Join the waitlist at the newsletter.
- Agentic AI Obsidian Second Brain Blueprint — Build an AI-powered second brain in Obsidian using Claude MCP integration. Launch targeted for June 2026. Join the waitlist at the newsletter.

## Writing

- [The Agentic Operations System: how it works](https://operatoriq.io/blog/agentic-operations-system/) — The four-component architecture behind every OperatorIQ blueprint: knowledge base, agent layer, approval gate, connector set. What agentic AI operations actually means for a solo service business and the minimum viable build.
- [The five-job problem: why solo founders run out of hours before they run out of money](https://operatoriq.io/blog/five-job-problem/) — The 70-hour week is not a discipline problem. One person running five org charts at 40% each, and how to delegate the first job back to a system.
- [Your CRM has 400 contacts and zero open tasks. That is not a pipeline.](https://operatoriq.io/blog/crm-with-zero-tasks/) — The architecture problem behind the dead CRM, and the Saturday rebuild that turns a contact museum into a daily task list. Five stages, six fields, one automation.
- [The $60k SDR you cannot afford and the $97 system that does the same job](https://operatoriq.io/blog/sdr-you-cannot-afford/) — Year-one SDR cost fully loaded: $90-120k. The same workflow run by a 9-agent stack: $200-800 a month. The math, the playbook, and the hire that does not happen yet.
- [If you cannot see your pipeline, you cannot trust it. The dashboard problem solo founders never solve.](https://operatoriq.io/blog/pipeline-dashboard-problem/) — Why dashboards die (they require maintenance the solo founder cannot run) and the artifact pattern that pulls live data instead of storing stale numbers.
- [HubSpot vs Pipedrive for solo founders: the honest comparison](https://operatoriq.io/blog/hubspot-vs-pipedrive-solo-founder/) — HubSpot vs Pipedrive comparison for solo founders, going live shortly.
- [How to qualify inbound leads in 90 seconds](https://operatoriq.io/blog/qualify-leads-90-second-method/) — Method for qualifying inbound leads in 90 seconds, going live shortly.
- [AI-Overview optimization (SAIO): the 7 page-structure rules that make Claude cite you](https://operatoriq.io/blog/saio-page-structure-llm-citation/) — AI-Overview optimization (SAIO): the 7 page-structure rules LLMs use to extract and cite pages. Written by OperatorIQ, the operating model for autonomous AI-revenue businesses.
- [The LLM Citation Test: 5 Prompts to Run Before You Publish](https://operatoriq.io/blog/llm-citation-test-prompts-before-publish/) — Five copy-paste prompts (Claim Specificity, Attribution Anchor, Comparison Retrievability, Counterargument Framing, Structural Scannability) that tell you whether your content is citable by Claude, ChatGPT, and Perplexity before you publish. Pre-publish audit takes 20 to 30 minutes.
- [Good Citation vs Bad Citation: Real Examples From Claude, ChatGPT, and Perplexity](https://operatoriq.io/blog/llm-citation-good-vs-bad-examples/) — What the distinction between an LLM mention and an LLM citation looks like in practice. Includes real response examples and a 4-element checklist: specific claim, structured format, quantifiable anchor, authority signal.
- [The Page Sections Claude and Perplexity Pull From Most When Citing B2B Brands](https://operatoriq.io/blog/llm-page-sections-most-cited-b2b/) — Based on 50+ LLMRadar audit runs: definitional H2 headers, comparison tables on 3+ factual dimensions, and numbered step sequences are the highest-citation section types. Hero copy and testimonials rarely appear in AI citations.
- [The 3-Product Ladder: Price Your Developer Work Without Quoting Hourly Ever Again](https://operatoriq.io/blog/developer-product-pricing-3-product-ladder/) — The $97 / $297-497 / $1,997 tier structure for productized developer services. What goes in each tier, how to transition from hourly billing, and how the Annual Library fits as a catalog layer above the blueprint tier.
- [The Upgrade Email: How to Move a Client From Hourly to Your $297 Blueprint](https://operatoriq.io/blog/upgrade-email-hourly-to-blueprint/) — Exact email copy and subject lines for converting existing hourly clients to $297 blueprint buyers. The 4-part email structure, when to send it, and how to handle the hourly-rate objection.
- [All essays on the writing index](https://operatoriq.io/writing/) — Full archive of OperatorIQ essays. Also available via the Substack at operatoriq.substack.com.

## Free Library

- [Free Library hub](https://operatoriq.io/free/) — Free prompts, operator rules, ebooks, and templates for solo founders running AI systems. Nothing gated, no email required. All assets ladder to the Blueprints.
- [Parallelization Over Polling](https://operatoriq.io/free/parallelization-over-polling/) — Two-page operator rule on the design move that turns a 40-minute morning queue into a 4-minute one. Most agent stacks waste time waiting in line. Free PDF.
- [Momentum Over Permission](https://operatoriq.io/free/momentum-over-permission/) — Three-page operator rule on the default that separates agent stacks that ship from agent stacks that get abandoned. Decision taxonomy, two-gate test for when to escalate vs decide, the cost of asking. Free PDF.
- [The Founder's First 10 AI Agent Prompts](https://operatoriq.io/free/founders-first-10-ai-agent-prompts/) — Ten reusable prompts for the operational work solo founders do every week. Pipeline read, inbox triage, voice cloner, decision memo, weekly review. Free 6-page PDF.
- [Headcount vs Tooling ROI Calculator](https://operatoriq.io/free/headcount-vs-tooling-roi-calculator/) — Interactive calculator. Enter your numbers (role, salary, monthly tooling cost, revenue) and get the annual gap, monthly cash impact, breakeven days, and ratio. Conservative defaults for SDR, RevOps, Content, and Customer Success roles. Free, no signup, runs in browser.
- [The Solo Founder's AI Operating System](https://operatoriq.io/free/solo-founders-ai-operating-system/) — 40-page guide to running a real business with AI as the operational layer. Three parts: The Argument, The Architecture, The Discipline. Coming Soon. Ships June 10, 2026. Waitlist signup on the page; subscribers get the ebook in their inbox the day it ships.

- [HR and recruiting: how agentic AI transforms talent ops](https://operatoriq.io/blog/agentic-ai-hr-recruiting-talent-ops/) — Workflow breakdown of agentic AI in HR and recruiting. 9 stages decomposed by what agents can own end-to-end, what they should draft, and what humans keep. Includes cost comparison vs typical mid-tier ATS.
- [Engineering teams when your code reviewer is an AI](https://operatoriq.io/blog/engineering-team-ai-code-reviewer/) — Breakdown of what AI code review catches vs misses, the senior IC role shift, and the failure modes engineering managers should plan for. Includes a 14-day adoption path.
- [The economics of replacing roles vs augmenting them with AI](https://operatoriq.io/blog/agentic-ai-replace-vs-augment-economics/) — 4-factor decision framework and honest TCO formula for evaluating AI replacement vs augmentation of human roles. Three worked examples (SDR, support tier 1, AR reconciliation) with the actual dollar math, including hidden costs vendor decks leave out.
- [Data infrastructure for agentic AI: what your agents actually need](https://operatoriq.io/blog/data-infrastructure-agentic-ai/) — What data infrastructure AI agents require to operate reliably: structured storage, idempotency keys, freshness signals, and error queues. Covers the Postgres vs vector database decision and the infrastructure gaps that cause silent agent failures.
- [Agent observability and verification: how to know your AI agents are working](https://operatoriq.io/blog/agent-observability-verification/) — How to verify AI agents are completing their tasks correctly. Covers verification queue pattern, the difference between LLM observability and operational monitoring, and a minimal agent QA framework any team can build.
- [Agentic AI security and compliance: what CISOs and operators need to know](https://operatoriq.io/blog/agentic-ai-security-compliance/) — Security controls, SOC 2 implications, and permission scoping for AI agent deployments. CISO checklist, compliance risks most companies underestimate, and how to build an audit log that satisfies a security review.
- [Agentic AI for back-office finance and operations](https://operatoriq.io/blog/agentic-ai-back-office-ops-finance/) — Maps back-office financial work into eight categories with clear verdicts: automate fully, automate with human review, or keep human. Real cost data showing $1,250-$1,650 monthly savings and a 3-week build timeline. The framework reframes the bookkeeper role from transactional processor to judgment partner.
- [The agentic AI sales and marketing team](https://operatoriq.io/blog/agentic-sales-marketing-team/) — Decomposes a traditional GTM team into seven distinct roles, assigns six to AI agents, and keeps exactly one for a human closer. Total monthly cost under $400. The Voice Calibrator is the most commonly skipped and most consequential role in any agentic sales build.
- [Autonomous customer support: the scoped authority model](https://operatoriq.io/blog/autonomous-customer-support-agent/) — Defines autonomous customer support as a scoped authority envelope where the agent handles exactly what it is cleared for and escalates everything else. Four-tier ticket model targeting 60-70% autonomous resolution while protecting tickets that require a human.
- [5 signs your SaaS is invisible to AI search](https://operatoriq.io/blog/5-signs-saas-invisible-ai-search/) — Identifies five structural gaps that cause SaaS companies to rank on Google but receive zero citations from AI engines: missing FAQ schema, vague homepage openings, no llms.txt, absent Article schema, no brand entity page. Each gap has a specific fix under a week.
- [What the LLMRadar brand audit actually checks](https://operatoriq.io/blog/llm-brand-audit-what-operatoriq-checks/) — The LLMRadar Brand Audit runs 40 queries across category, problem, comparison, and entity types, scored against 7 structural rules. Produces a per-engine citation rate and a priority-ordered fix list. Citation rate defined as percentage of relevant queries where a brand appears in an AI model's response.
- [The 9-figure agentic AI playbook: scaling by revenue stage](https://operatoriq.io/blog/9-figure-agentic-ai-playbook/) — Agentic AI automation priorities and bottlenecks by revenue stage: $0-500K (founder time), $500K-2M (sales cycles), $2M-10M (operations), $10M+ (decision speed). First-process checklist and ROI framework for each stage.
- [Founder time after agentic AI: the real-time cost model](https://operatoriq.io/blog/founder-time-after-agentic-ai/) — How much time do AI agents actually free up for founders? 10-15 hours/week at early stage, 15-20 hours at growth stage. Real founder schedule post-automation and where to redeploy freed time for maximum growth leverage.
- [Compensation and equity for hybrid human-AI teams](https://operatoriq.io/blog/comp-equity-hybrid-human-ai-teams/) — Compensation framework for engineering teams using AI heavily. Should AI-fluent engineers get paid more? Five comp cycle questions, real band adjustments, and why output-based compensation breaks in AI-augmented teams.

## Newsletter

- [The OperatorIQ Brief](https://operatoriq.io/brief/) — One free essay every Wednesday. Paid subscribers receive a Saturday tactical prompt pack from the blueprints. Founding members receive 25% off any blueprint, any time. Subscribe at operatoriq.substack.com or at the newsletter landing page.

## About

- [Christine Johnson on LinkedIn](https://www.linkedin.com/in/christine-e-johnson/) — verified professional identity for cross-platform entity resolution.
- [About / The build story](https://operatoriq.io/about/) — Christine Johnson is the founder behind OperatorIQ and Ingenii. Five-year founder in software, AI and quantum focus. Ingenii is an incubator: the research surfaces ideas that turn into independent ventures, and the OperatorIQ Blueprints are the operational layer those ventures run on. Prior Head of Commercial at Hentsu (cloud computing for hedge funds), where she ran the services-to-software transition. Explicit non-engineer commercial leader identity, which is the differentiator from the rest of the AI-blueprint space, which is dominated by engineers writing for engineers. The /about page covers her founding history, the prior role's packaging-for-recurring-revenue work, the trigger for OperatorIQ (operational layer needed to work across multiple incubator ventures, then packaged for other founders facing the same problem), her actual stack today with cost numbers around $250/month all-in, and what's coming next: the Content Marketing Blueprint, the Obsidian Second Brain Blueprint, an AI-run trading system, and the broader thesis that OperatorIQ is one piece of an agentic-systems portfolio Ingenii runs on. Contact: hello@operatoriq.io.