Level 1 taught how AI systems work and fail on labels, plants, sites, prices and customer messages, and who owns each output. Level 2 puts that to work on the tasks that fill a landscaping week. It is written for estimators and designers, account managers, office and sales staff, schedulers, crew leaders, and the working owners of landscaping, lawn care, tree care and grounds companies. Every module takes one task and builds a supervised, repeatable way to do it, with the check and the qualified person who owns it named on the page.
Modules one to three build the instrument. Module one sets the operating model: triaging a task before any tool opens, running an assisted task from site notes to a checked deliverable, asking what a vendor accuracy claim actually measured and on what, and keeping the job AI use record while the work happens. Module two builds the layered prompt: standing rules, a task card, a source block carrying region, season, site and label text with their dates, constraints that keep drafts out of qualified work, and a design that treats pasted customer and supplier text as untrusted. Module three turns shared prompts into a company library with owners, versions, tests against known answers, retest triggers such as a label revision, a watering restriction, a new hardiness map or a price list update, and deliberate retirement.
Modules four to seven are the core of careful work. Module four assembles a verified site file with a status on every item, writes closed-file drafting instructions, traces every line of a draft back to the file, and sets the point where the owner takes over. Module five uses AI only to find and restate what a pesticide label already says, so a certified applicator can check it faster; the tool never chooses a product, rate, timing or site, and using a product inconsistently with its labeling is unlawful. It also covers restricted use checks before scheduling, the supervised applicator's file, and the questions a model must be refused. Module six shows what identification accuracy has and has not been measured on, how to photograph a plant or symptom so it helps, and why every identification is a hypothesis routed to a named confirmer and recorded. Module seven is the Source Verification Protocol for any product, rule, zone, credential or specification a tool mentions.
Modules eight to ten follow the job. Module eight turns site measurements into a takeoff with the arithmetic done outside the model, writes proposal scope that promises only what is specified, records an unforeseen condition for a change order a person prices and approves, and checks a drafted contract against California's home improvement statute and the federal cooling-off rule's thresholds and exclusions. Module nine writes irrigation service calls as observed, indicated and decided, explains a controller and its water-efficiency label without promising a saving, tracks watering restrictions, and keeps backflow testing with the licensed tester, with Texas as the state example. Module ten uses design assistants for drafts a person checks, reads California's landscape architecture definition with its exemptions, captions generated renderings honestly, and runs a species check on every plant.
Modules eleven to thirteen face the customer. Module eleven drafts status updates, delay notices, damage reports and complaint replies the job file supports, without guesses or unearned admissions, and covers AI disclosure and translated notices a fluent person has checked. Module twelve applies the federal consumer review rule and endorsement guidance to review requests, replies, displays, before-and-after photographs and disclosures, and builds a substantiation file for green, water-saving and AI-powered claims. Module thirteen sorts every call and text by purpose, voice and consent under the federal rules, explains the consent definition reinstated in 2025, honours opt-outs on time, and reviews an AI voice or purchased-list campaign before it starts.
Module fourteen closes the level in the field: daily reports kept apart from the time records federal wage and hour rules require, toolbox talks drafted and translated without an invented control, injury records and the reports that cannot wait, the first hour after an AI-caused error, and the assembly of the Level 2 portfolio.
Statements of authority are labelled with whom each binds and when it was checked; no state's rule is presented as a national one, and voluntary programmes are never taught as law. The level ships with a printable workbook and eleven templates, a final examination that draws forty scenario questions from a reviewed bank, and a capstone Applied Workflow Portfolio built on fictional companies, properties and customers.
Everything here is professional education. It is not legal, agronomic, arboricultural, engineering or safety advice, and it does not replace the product label, a certified pesticide applicator, a licensed irrigator, backflow tester, landscape architect, contractor or tree expert where a state requires one, the employer's safety programme, legal counsel, or the law of the state where the work is performed. Completing the level earns an independent educational certificate issued by AI Coalition Network with a public verification page. It is not a licence, an applicator certification or a safety credential, it carries no professional education hours or recertification points, and it satisfies no licensing, certification or safety-training requirement.