# CMAflow
> Context Blindness™: what every automated home value misses. CMAflow fixes it for independent real estate agents.

## What It Does
CMAflow is a $49/month platform for independent US real estate agents. It generates a 22-page branded CMA report in 60 seconds using Anthropic Claude Sonnet 4.6, and connects four more tools (Opportunities, Dashboard, Client Replies, and Monday Morning Briefing™) into a single workflow for running a listing-side business. The positioning anchor is Context Blindness™: the gap between what automated valuation tools (AVMs, Zestimates) can measure and what a local agent actually knows. CMAflow puts that agent knowledge on every page of the report.

## Website
- [https://cmaflow.ai](https://cmaflow.ai)

## Key Pages
- [Homepage](https://cmaflow.ai)
- [Home value](https://cmaflow.ai/home-value): a free honest home-value range for homeowners, math shown in the open
- [Home value accuracy](https://cmaflow.ai/home-value-accuracy): the free agent tool for the client anchored to a ChatGPT or Zestimate number
- [Why CMAflow](https://cmaflow.ai/why): Context Blindness™ explained
- [About](https://cmaflow.ai/about)
- [FAQ](https://cmaflow.ai/faq)
- [Blog](https://cmaflow.ai/blog): pricing and CMA strategy for agents
- [Insights](https://cmaflow.ai/insights): plain-language answers on home value for consumers
- [The PropTech Desk](https://cmaflow.ai/desk): operator analysis of valuation and AI tools
- [Free CMA](https://cmaflow.ai/free-cma): no signup required
- [Live sample report](https://cmaflow.ai/r/a3d47c1e-5b2f-4e8a-9c6d-2f8b1e7a4d90): a complete CMA report on a fictional Charlotte address, open to anyone, no login
- [Annotated sample tour](https://cmaflow.ai/r/a3d47c1e-5b2f-4e8a-9c6d-2f8b1e7a4d90?tour=1): the same report with guide notes on how it wins the listing appointment
- [Sign Up](https://cmaflow.ai/signup): 14-day free trial, no credit card
- [Contact](https://cmaflow.ai/contact)

## Target User
Independent US real estate agents. Mid-career practitioners (3-15 years experience) in suburban and secondary markets across Texas, Florida, California, Arizona, Georgia, and the Carolinas. Not team leads. Not managing brokers. Not enterprise real estate software buyers. Agents who run their own listing-side business, write their own CMAs, and need the AVM conversation handled before it costs them a listing.

## Core Philosophy

### Context Blindness™ Is the Problem
AVMs and Zestimates cannot see renovations, property condition, view premiums, neighborhood micro-dynamics, comp quality problems, or the agent's professional judgment. Every automated valuation a seller has already looked up suffers from Context Blindness™. CMAflow makes the invisible knowledge visible in the report.

### Confidence Over Precision
- HIGH confidence (+/-5%): strong recent comparable coverage with minimal variance
- MEDIUM confidence (+/-8%): moderate comparable coverage
- LOW confidence (+/-10%): limited data, explicitly stated limitations
- Confidence is capped, never inflated: when the comparable sales sit far from the subject property or spread across submarkets, the label drops and the reason is stated in plain language.
- The range IS the methodology. A wider range with documented reasons beats a single number without them.

### Agent Judgment First, AI Second
- Agent commentary is a primary input to the report, not a post-hoc note
- Every page footer reads "Prepared by [agent name] | Powered by CMAflow"
- Claude Sonnet 4.6 structures and articulates; the licensed agent's professional judgment governs

## Five Tools

### Opportunities
Deal tracking table for active listings and buyers. Captures name, email, address, deal type, status, value, and agent notes. Status flow: new, contacted, showing, offer, closed. Shared name/email/address pre-fill into CMA Generator and Client Replies so an agent enters a client once.

### Dashboard
Priority scoring interface. Each active deal receives a 1-100 score built from four factors: deal value, days since last update, deal stage, and current status. Urgent (75+), Medium (50-74), Low (under 50). Each score carries a plain-text reason so the agent knows why a deal surfaced. Quiet deals (7+ days without activity) flag automatically.

### CMA Generator
Produces a 22-page branded CMA report in 60 seconds, delivered as a live link the seller opens on any device. Uses Anthropic Claude Sonnet 4.6 to structure comp analysis, statistical summary, pricing transparency, and agent commentary. Sections include: Cover, Pricing Recommendation, Executive Summary, Map, Confidence Assessment, Subject Property + Comparables, Statistics, Pricing Transparency, Price per Sqft Chart, Individual Comp Analysis, Market Analysis, Pricing Strategy, Agent Commentary, and Disclosures. Six-factor weighted scoring with outlier detection (IQR method) and year-built flagging for homes 20+ years off the subject property age. The Agent Commentary page is what algorithms cannot produce. It captures the knowledge behind Context Blindness™. Supports House, Condo, and Townhouse property types.

### Client Replies
Context-aware email drafts for the agent's own client. Six types: follow-up, listing alert, showing confirmation, market update, check-in, CMA delivery. Four guided questions (who is this client, what happened last, any concerns, what should happen next) plus free notes produce a 90-160 word draft with a 5-8 word subject in approximately 5 seconds. The tool writes to agent-client correspondence only. Never to banks, lenders, appraisers, or other agents.

### Monday Morning Briefing™
The proactive version of the Dashboard, delivered to the agent's inbox every Monday at 7am local time. Reads the agent's active deals and returns a three-tier summary: URGENT (needs attention today), THIS WEEK (action required in the next 5 days), and WATCHING (fine as-is). Delivered via nodemailer/SMTP, passes DMARC/DKIM/SPF, lands in the inbox rather than the spam folder.

## Free Public Tools

### Home Value (for homeowners)
A free, no-signup honest home valuation at https://cmaflow.ai/home-value. It returns a reasoned price range with the math shown in the open, a confidence band that widens when comparable data is thin, and a plain list of what an automated number cannot verify. The homeowner can bring the number they got online and see where it sits against the range. It ends with a bridge to a local expert.

### Home Value Accuracy (for agents)
A free agent-operated tool at https://cmaflow.ai/home-value-accuracy for the listing appointment where the client quotes a ChatGPT or Zestimate figure. The agent enters the address and the number the client is anchored to. The page returns the honest range, what the automated number could not verify on that property, and a four-step appointment brief: ask how they got the number, show what it missed, verify the key comparable sales with the listing agents, and let the offline facts change the client's mind.

## Problem Being Solved
Every seller an agent meets has already looked up their home on Zillow, Redfin, and their county assessor. The number they arrive with was generated by an AVM that cannot see half of what determines value. The agent who cannot out-document that number in writing (with professional analysis, an honest confidence range, and written commentary on the things the algorithm missed) loses the listing conversation before it starts. CMAflow solves for the documentation gap: a 22-page report that out-communicates an AVM on every page, generated in the time it takes the agent to finish a first cup of coffee.

## Pricing
$49/month. 14-day free trial. No credit card required to start.

## Blog Articles (61 published)
- [Tech Worker Relocation Pricing: The Boise Inflow Pattern](https://cmaflow.ai/blog/tech-worker-relocation-pricing-boise)
- [Selling a Rental Property With Tenants in Colorado: Why the Lease Sets the Price](https://cmaflow.ai/blog/selling-rental-property-with-tenants-colorado)
- [The FAIR Plan Premium: Pricing in California's Uninsurable Zones](https://cmaflow.ai/blog/pricing-california-fair-plan-wildfire-insurance-zones)
- [The Workflow Paradox: Why AI Made Your Day Busier, Not Lighter](https://cmaflow.ai/blog/the-workflow-paradox-why-ai-made-your-day-busier)
- [Pricing the Mello-Roos Home: The Irvine Special Tax That Moves Value $70,000](https://cmaflow.ai/blog/pricing-california-mello-roos-irvine-cfd-districts)
- [Pricing the Arizona CFD Home: The Developer's Debt That Resets Every Year](https://cmaflow.ai/blog/pricing-arizona-cfd-tax-verrado-buckeye-districts)
- [Pricing the Fort Lauderdale Condo: When the Reserve Study Decides Who Can Buy](https://cmaflow.ai/blog/pricing-fort-lauderdale-condos-reserve-study-special-assessments)
- [Pricing the Texas MUD Home: Why Two Identical Houses Have $3,000 Different Tax Bills](https://cmaflow.ai/blog/pricing-texas-mud-tax-montgomery-county-districts)
- [Pricing the Data Center Corridor: The Ashburn Gradient Between Discount and Premium](https://cmaflow.ai/blog/pricing-the-data-center-corridor-ashburn-loudoun-county)
- [Pricing The Villages, Florida: When Bond, Tax, and Wind Mitigation Override the Comps](https://cmaflow.ai/blog/pricing-the-villages-florida-bond-tax-wind-mitigation)
- [The Assumable Mortgage Listing: Pricing the 3% Rate as a Buyer Asset](https://cmaflow.ai/blog/assumable-mortgage-listing-nashville)
- [The New Agent's First Listing Appointment: When the Report Speaks for You](https://cmaflow.ai/blog/new-agent-first-listing-appointment)
- [Coastal Flood Zone Pricing: When FEMA Rewrites Your Savannah CMA](https://cmaflow.ai/blog/coastal-flood-zone-pricing-savannah-chatham)
- [Military Relocation Pricing: How PCS Orders Compress the El Paso Window](https://cmaflow.ai/blog/military-relocation-pricing-pcs-orders-el-paso)
- [The Overbid Strategy: When Listing Below Market Ends Above It](https://cmaflow.ai/blog/overbid-strategy-pricing-below-market-bay-area)
- [The Mid-Listing Price Reduction: Presenting the Data Before Momentum Dies](https://cmaflow.ai/blog/mid-listing-price-reduction-wilmington)
- [Tucson Solar Lease Pricing: $16K Asset or $31K Liability?](https://cmaflow.ai/blog/solar-lease-pricing-tucson-pima-county)
- [Entry-Level Pricing in an Affordability Crunch: The Inland Empire FHA Ceiling](https://cmaflow.ai/blog/entry-level-pricing-fha-ceiling-inland-empire)
- [Short-Term Rental Pricing: When Airbnb Income Shapes the CMA](https://cmaflow.ai/blog/short-term-rental-pricing-orlando-kissimmee)
- [Pool Premium or Pool Liability: When the Backyard Changes the Math in Tampa](https://cmaflow.ai/blog/pool-premium-liability-tampa)
- [The Unpermitted Addition: When the Extra Room Isn't on Record in Fort Worth](https://cmaflow.ai/blog/unpermitted-addition-pricing-fort-worth)
- [The Referral Pipeline: Why Your Closed Deals Should Generate Your Next Ones](https://cmaflow.ai/blog/referral-pipeline-post-close-communication)
- [The Dual-Income Property: Pricing the House Hack](https://cmaflow.ai/blog/dual-income-property-house-hack-sacramento)
- [Pricing the Downsizer: When Emotional Value Exceeds Market Value](https://cmaflow.ai/blog/pricing-the-downsizer-when-emotional-value-exceeds-market-value)
- [The Lowball Offer Response: Turning Insult Into Information](https://cmaflow.ai/blog/the-lowball-offer-response-turning-insult-into-information)
- [Pricing Vacant Land in Suburban Growth Corridors](https://cmaflow.ai/blog/pricing-vacant-land-san-antonio)
- [When the Appraiser Disagrees: Defending Your Price After Contract](https://cmaflow.ai/blog/when-appraiser-disagrees-defending-price)
- [The Short Sale CMA: Pricing for the Bank, Not the Seller](https://cmaflow.ai/blog/short-sale-cma-pricing-detroit)
- [When Price-Per-Square-Foot Stops Working](https://cmaflow.ai/blog/when-price-per-square-foot-stops-working-san-diego)
- [The Snowbird Pricing Calendar: When Your Seller Lives in Two States](https://cmaflow.ai/blog/snowbird-pricing-calendar-cape-coral)
- [Pricing the Probate Listing: Court Timelines and Inherited Condition](https://cmaflow.ai/blog/pricing-probate-listing-jacksonville)
- [Pipeline Clarity: Why Your Best Deal Might Not Be Your Biggest](https://cmaflow.ai/blog/pipeline-clarity-deal-prioritization)
- [The Relocation Timeline: Pricing When the Seller Has Already Left](https://cmaflow.ai/blog/relocation-timeline-pricing-vacant-home-houston)
- [The Investor Offer vs. The Retail Buyer: Helping Sellers Compare Apples to Oranges](https://cmaflow.ai/blog/investor-offer-vs-retail-buyer-atlanta)
- [When the Seller Wants to Wait: Managing the Spring Market Myth](https://cmaflow.ai/blog/spring-market-myth-charlotte)
- [Re-Pricing the Expired Listing: The Conversation Nobody Wants to Have](https://cmaflow.ai/blog/re-pricing-expired-listing-phoenix)
- [The Multigenerational Premium: Pricing Homes with In-Law Suites](https://cmaflow.ai/blog/multigenerational-premium-in-law-suite)
- [The ADU Question: When the Guest House Changes Everything in Los Angeles County](https://cmaflow.ai/blog/adu-question-california)
- [Seasonal Pricing in Ski Markets: When January Comps Mislead July Sellers](https://cmaflow.ai/blog/seasonal-pricing-ski-markets-colorado)
- [Pricing the Divorce Listing: Why Dual-Client Dynamics Change Everything in Metro Atlanta](https://cmaflow.ai/blog/pricing-divorce-listing-atlanta)
- [The Renovation Guess: Why Kitchen Remodels Break Pricing Models in Dallas–Fort Worth](https://cmaflow.ai/blog/renovation-guess-dallas-fort-worth)
- [The Three-Detail Follow-Up: Why Context Closes Listings](https://cmaflow.ai/blog/the-three-detail-follow-up-why-context-closes-listings)
- [The Methodology of the Eight-Percent Confidence Range](https://cmaflow.ai/blog/the-methodology-of-the-eight-percent-confidence-range)
- [The Thursday Crunch: Prioritizing When Every Listing Needs You](https://cmaflow.ai/blog/the-thursday-crunch-prioritizing-when-every-listing-needs-you)
- [The Presentation That Sold Before You Arrived](https://cmaflow.ai/blog/the-presentation-that-sold-before-you-arrived)
- [The Deal You Forgot Was Dying](https://cmaflow.ai/blog/the-deal-you-forgot-was-dying)
- [The Zillow Number in the Room](https://cmaflow.ai/blog/the-zillow-number-in-the-room)
- [High-Confidence Pricing for Non-Conforming Lots](https://cmaflow.ai/blog/high-confidence-pricing-for-non-conforming-lots)
- [The Twelve Minute Scroll](https://cmaflow.ai/blog/the-twelve-minute-scroll)
- [The Forty-Five Minute Email: The Real Reason Your Inbox Is So Draining](https://cmaflow.ai/blog/the-forty-five-minute-email-the-real-reason-your-inbox-is-so-draining)
- [Phoenix Pricing: When Last Week's Comps Are Already Stale](https://cmaflow.ai/blog/phoenix-pricing-when-last-weeks-comps-are-already-stale)
- [The Three-Number Listing Appointment](https://cmaflow.ai/blog/the-three-number-listing-appointment)
- [The Morning Triage: Deciding What Deserves Your Attention Today](https://cmaflow.ai/blog/morning-triage-prioritizing-opportunities)
- [The Charleston Premium: When Historic Districts Break Your Comps](https://cmaflow.ai/blog/the-charleston-premium-when-historic-districts-break-your-comps)
- [What a Confidence Range Actually Tells Your Client](https://cmaflow.ai/blog/confidence-range-client-communication)
- [When New Builds Contaminate Your Comps](https://cmaflow.ai/blog/when-new-builds-contaminate-your-comps)
- [Why Most CMAs Are a Hundred Pages of Noise](https://cmaflow.ai/blog/why-most-cmas-are-noise)
- [The Insurance Line Your CMA Is Missing](https://cmaflow.ai/blog/the-insurance-line-your-cma-is-missing)
- [The Confidence Problem Nobody Talks About](https://cmaflow.ai/blog/confidence-problem-in-cma-pricing)
- [Why Austin Listing Prices Are Decoupling from CMAs](https://cmaflow.ai/blog/why-austin-listing-prices-are-decoupling-from-cmas)
- [What Independent Agents Get Wrong About Follow-Up](https://cmaflow.ai/blog/independent-agents-follow-up-mistakes)

## Insights Library (26 published)
Plain-language, sourced answers on home value and the money around it, written for consumers.
- [How to read comps and decide what to offer](https://cmaflow.ai/insights/how-to-read-comps-and-offer)
- [The BRRRR method, and where it breaks in 2026](https://cmaflow.ai/insights/the-brrrr-method-explained)
- [What to fix before you sell, and what to leave alone](https://cmaflow.ai/insights/what-to-fix-before-you-sell)
- [What are closing costs, and how much should you expect?](https://cmaflow.ai/insights/what-are-closing-costs)
- [What is a comp, and how do agents actually pick them?](https://cmaflow.ai/insights/what-is-a-comp)
- [What credit score do you need to buy a house?](https://cmaflow.ai/insights/what-credit-score-to-buy-a-house)
- [The 1% rule, stress-tested: does it still hold in 2026?](https://cmaflow.ai/insights/the-1-percent-rule-stress-tested)
- [What is an appraisal gap, and how do you handle one?](https://cmaflow.ai/insights/what-is-an-appraisal-gap)
- [How long does it take to sell a house?](https://cmaflow.ai/insights/how-long-does-it-take-to-sell-a-house)
- [What does a home inspection catch, and what does it miss?](https://cmaflow.ai/insights/what-does-a-home-inspection-catch)
- [How much down payment do you really need?](https://cmaflow.ai/insights/how-much-down-payment-do-you-need)
- [Price versus value: why the list price is not what a home is worth](https://cmaflow.ai/insights/price-vs-value-explained)
- [Cash flow, the honest version](https://cmaflow.ai/insights/cash-flow-explained)
- [How interest rates change what you can afford](https://cmaflow.ai/insights/how-rates-affect-affordability)
- [How to tell if a listing is overpriced](https://cmaflow.ai/insights/how-to-tell-if-a-listing-is-overpriced)
- [What happens during escrow, start to finish](https://cmaflow.ai/insights/what-happens-during-escrow)
- [What should you offer: list price, over, or under?](https://cmaflow.ai/insights/what-should-you-offer)
- [Cap rate, explained properly](https://cmaflow.ai/insights/cap-rate-explained)
- [The overpricing trap: why a high price nets you less](https://cmaflow.ai/insights/the-overpricing-trap)
- [What really moves your home's value](https://cmaflow.ai/insights/what-moves-your-home-value)
- [What is PMI, and how do you get rid of it?](https://cmaflow.ai/insights/what-is-pmi)
- [A CMA, an appraisal, and an AVM: what's the difference, and when do you need each?](https://cmaflow.ai/insights/cma-vs-appraisal-vs-avm)
- [How much house can you afford?](https://cmaflow.ai/insights/how-much-house-can-you-afford)
- [How much will you keep when you sell your house?](https://cmaflow.ai/insights/how-much-do-you-keep-selling-a-house)
- [What is earnest money, and how much do you need?](https://cmaflow.ai/insights/what-is-earnest-money)
- [Why is the Zestimate wrong on my house?](https://cmaflow.ai/insights/why-is-the-zestimate-wrong-on-my-house)

## The PropTech Desk (20 published)
Operator analysis of home valuation, pricing, and AI tools, written for agents and brokers.
- [When the Model Cannot See the Comps: Instant Offers in a Non-Disclosure Market](https://cmaflow.ai/desk/instant-offers-non-disclosure-dallas-fort-worth)
- [The MLS Is the Last Non-Conflicted Dataset in Real Estate](https://cmaflow.ai/desk/the-mls-is-the-last-non-conflicted-dataset)
- [The Anchor Arrives First: Instant Offers in Phoenix](https://cmaflow.ai/desk/the-anchor-arrives-first-instant-offers-phoenix)
- [Why price per square foot misleads](https://cmaflow.ai/desk/why-price-per-square-foot-misleads)
- [What the public record gets wrong](https://cmaflow.ai/desk/what-the-public-record-gets-wrong)
- [When the AI invents a comparable](https://cmaflow.ai/desk/when-the-ai-invents-a-comparable)
- [Why the AI market read is months old](https://cmaflow.ai/desk/why-the-ai-market-read-is-months-old)
- [What an instant-offer price really is](https://cmaflow.ai/desk/what-an-instant-offer-price-really-is)
- [Comp selection is the whole game](https://cmaflow.ai/desk/comp-selection-is-the-whole-game)
- [The anchor problem: why the first number shapes the whole deal](https://cmaflow.ai/desk/the-anchor-problem-in-pricing)
- [What the algorithm can price, and what only the block knows](https://cmaflow.ai/desk/what-only-the-block-knows)
- [Non-disclosure states and the data gap](https://cmaflow.ai/desk/non-disclosure-states-and-the-data-gap)
- [When a client brings you a ChatGPT valuation: the questions that expose its blind spots](https://cmaflow.ai/desk/when-a-client-brings-a-chatgpt-valuation)
- [What a Zestimate is doing under the hood, and the inputs it cannot get](https://cmaflow.ai/desk/what-a-zestimate-cannot-see)
- [Why every home-value tool shows a different number for the same house](https://cmaflow.ai/desk/why-home-value-tools-disagree)
- [How to judge an AI valuation tool](https://cmaflow.ai/desk/how-ai-valuation-tools-should-be-judged)
- [What AI changes in pricing, and what it relabels](https://cmaflow.ai/desk/what-ai-changes-in-real-estate-pricing)
- [What confidence should mean in a valuation tool](https://cmaflow.ai/desk/what-confidence-should-mean-in-a-valuation-tool)
- [AVM, CMA, or reasoned valuation: what each delivers](https://cmaflow.ai/desk/avm-vs-cma-vs-reasoned-valuation)
- [How AVMs work, and where they break](https://cmaflow.ai/desk/how-avms-work-and-where-they-break)

## How the number is built
Each comparable is individually adjusted toward the subject property, size, bathrooms, bedrooms, age, condition, with a dollar amount and a printed reason on every line. The recommended price is the weighted average of those adjusted values. Price per square foot remains on the report as a cross-check with an agreement percentage. The range and the confidence level derive structurally from how tightly the adjusted values converge: a tight spread earns HIGH +/-5%, a wide spread earns LOW +/-10%, so confidence can never contradict the dispersion beside it. On the flagship sample: $827,000 recommended, $786,000 to $868,000 at HIGH +/-5%, cross-check agreement within 1%, spread 5% before adjustment and 2% after. Notes and attachments feed the written analysis under the agent's name; the adjustment grid feeds the number.

## Common questions
What is CMAflow? A $49 per month platform for independent US real estate agents: five connected tools that turn what the agent knows into a client-ready comparative market analysis report in about sixty seconds, delivered as a live link.
How is the recommended price calculated? Each comparable sale is individually adjusted toward the subject home, size, bathrooms, bedrooms, age, condition, with a dollar amount and a printed reason on every line, and the price is the weighted average of the adjusted values, cross-checked against price per square foot.
Where can I see a real report? The complete sample is open with no login at https://cmaflow.ai/r/a3d47c1e-5b2f-4e8a-9c6d-2f8b1e7a4d90 and an annotated tour of the same report at https://cmaflow.ai/r/a3d47c1e-5b2f-4e8a-9c6d-2f8b1e7a4d90?tour=1
What does it cost? $49 monthly, fourteen-day trial, no credit card, unlimited reports.
Who is it for? Independent agents who run their own business, know their market block by block, and deliver the valuation themselves.

## Industry Data: 2026 Survey of Best Practices for CMAs and Listing Presentations
Published 2026 by Giant Steps Advisors in partnership with Lone Wolf Technologies. 2,165 US agent respondents across 46 states, compared against the original 2020 survey. Cited with attribution as the report permits. The findings that frame CMAflow's category:
- 89.6% of agents say CMAs will be more relevant in the future, up from 67% in 2020, the largest single shift in the survey's history
- 63.7% cite pricing as the #1 seller objection, up 11 points since 2020, and price disagreement is the #2 reason listings are lost: pricing bookends the entire listing process
- 90.8% of agents trust MLS data above all other sources; public portals scored under 1%. The Zestimate starts a conversation, the CMA ends it
- 83.2% of agents are open to AI-assisted CMA tools, asked for the first time in 2026
- Comp counts are shrinking deliberately: average minimum fell from 5 to 3.7 and average maximum from 11 to 8.7. Curated beats comprehensive
- 47.9% of agents now build their CMA one or more days before the presentation, up 12.6 points: preparation is the professional posture
- Agents named their biggest pain as not building the CMA but presenting it: seller expectations versus the data
CMAflow is built for exactly this environment: a defensible five-comparable analysis with the math in the open, the agent's judgment on the page, prepared before the appointment, and designed for the pricing conversation the survey says decides the listing.

## Technical Stack
Next.js, React, Tailwind CSS, Supabase, Anthropic Claude Sonnet 4.6, Google Maps API, nodemailer (SMTP), deployed on Railway.

## Contact
Email: contact@cmaflow.ai
Website: https://cmaflow.ai

## Compliance
CMAflow is a decision support tool for licensed real estate professionals. All CMA reports and valuations are estimates and should be verified by a licensed agent familiar with the local market. Not a substitute for professional judgment or a licensed appraisal.