Each week for 9 weeks, patients will be sent four messages that are specific to the LE8 topic for that week and with each message, they will be invited to engage with the chatbot to ask more questions about that topic. The first message of the week will be informational about the topic consistent with how the AHA provides information: 1) to understand readings and levels, 2) to encourage people to track levels, and 3) to offer specific skills building strategies. The fourth message will ask them to report out on short term (i.e., things they can do that week) plans for self-management for that topic and again invite their engagement with the chatbot to reinforce support for their plans.

Pharmacists that will proactively facilitate effective engagement with patients.

Change in the individual risk factors of the Life's Essential 8, including change in total cholesterol, between baseline and 12-months following enrollment will be assessed. Data will be derived from the EHR. For patients without a baseline measure derived from the EHR, the investigators will encourage patients to talk to their physician about obtaining a measure consistent with LE8 recommendations. For the 12-month measurement, the investigators will take the value closest to the 12-month post enrollment date with a 3-month window prior to and after the 12-month enrollment date.

For the primary outcome composite score: 100 points: <130 mg/dL; 0 points: ≥220 mg/dL

Change in the individual risk factors of the Life's Essential 8, including change in blood sugar, between baseline and 12-months following enrollment will be assessed. Data will be derived from the EHR. For patients without a baseline measure derived from the EHR, the investigators will encourage patients to talk to their physician about obtaining a measure consistent with LE8 recommendations. For the 12-month measurement, the investigators will take the value closest to the 12-month post enrollment date with a 3-month window prior to and after the 12-month enrollment date.

For the primary outcome composite score: 100 points: No history of diabetes and hemoglobin A1c <5.7; 0 points: Diabetes with hemoglobin A1c ≥10.0

Change in the individual risk factors of the Life's Essential 8, including change in body mass index, between baseline and 12-months following enrollment will be assessed. Data will be derived from the EHR. For patients without a baseline measure derived from the EHR, the investigators will encourage patients to talk to their physician about obtaining a measure consistent with LE8 recommendations. For the 12-month measurement, the investigators will take the value closest to the 12-month post enrollment date with a 3-month window prior to and after the 12-month enrollment date.

For the primary outcome composite score: 100 points: Body mass index (kg/m2) <25; 0 points: Body mass index (kg/m2) ≥40.0

Change in the individual risk factors of the Life's Essential 8, including change in physical activity, between baseline and 12-months following enrollment will be assessed. Since physical activity is not observable in the EHR, the investigators will ask patients via text to self-report their status at baseline and 12-months following enrollment. Patients will be asked to report the total number of minutes of vigorous physical activity they get in a typical week, and the total number of minutes of moderate physical activity they get in a typical week. Patients can enter the number of minutes for each question, or can choose to skip the question or select "Prefer not to answer".

For the primary outcome composite score: 100 points: ≥150 minutes of moderate or vigorous activities per week; 0 points: 0 minutes

Change in the individual risk factors of the Life's Essential 8, including change in sleep, between baseline and 12-months following enrollment will be assessed. Since sleep is not observable in the EHR, the investigators will ask patients via text to self-report their status at baseline and 12-months following enrollment. Patients will be asked to report how many hours of sleep do you get per night on average. Patients can enter the number of hours, or can choose to skip the question or select "Prefer not to answer".

For the primary outcome composite score: 100 points: 7-<9 hours of sleep per night; 0 points: <4 hours of sleep per night.

Change in the individual risk factors of the Life's Essential 8, including change in smoking habits, between baseline and 12-months following enrollment will be assessed. Since smoking habits are not observable in the EHR, the investigators will ask patients via text to self-report their status at baseline and 12-months following enrollment. Patients will be asked if they smoke cigarettes, cigars, little cigars, pipes, water pipes, hookah, use e-cigarettes or any other tobacco product? Options may include Yes, No, Prefer not to answer, or Skip.

For the primary outcome composite score: 100 points: Never smoker; 0 points: Current smoker.

Change in the individual risk factors of the Life's Essential 8, including change in diet patterns between baseline and 12-months following enrollment. As diet patterns are not observable in the EHR, the investigators will ask patients via text to self-report at baseline and 12-months following enrollment. The study will use the Mini-Eating Assessment Tool (Mini-EAT), a 9-item dietary screener that includes fruits/vegetables, whole grains, refined grains, fish/seafood, legumes/nuts/seeds, low-fat dairy, high-fat dairy, and sweets consumption. The 9-item survey will provide a single score (range 0-100; scores <61 indicate an unhealthy diet, 61-69 indicate an intermediate diet, >69 indicate a healthy diet).

For the primary outcome composite score: 100 points: ≥95th percentile (top/ideal diet); 0: 1st-24th percentile (bottom/least ideal quartile).

The Self-Efficacy for Managing Chronic Disease Scale is a valid and reliable instrument available in English and Spanish. The English version is made up of 6-items on a visual analog scale, ranging from 1 (not at all confident) to 10 (totally confident).

The investigators will measure medication adherence in one of two ways. First, investigators will identify the number of gaps (frequency) for every patient and medication. Gaps will be determined using pharmacy refill data based on the date of refill, the number of days supplied, and the subsequent refill date during the 12-month intervention period. Worse medication adherence will be identified as an increase in the frequency of gaps. The study is currently using this same methodology in the Nudge study.

The investigators will measure medication adherence in one of two ways. In the second method, investigators will measure medication adherence by measuring the length of each gap (severity) for every patient and medication. The length of each gap will be determined using pharmacy refill data based on the date of refill, the number of days supplied, and the subsequent refill date during the 12-month intervention period. Worse medication adherence will be identified as the length (severity) of the gaps. We are currently using this same methodology in the Nudge study

Clinical events are defined as emergency department (ED) visits or hospitalizations.

Investigators will determine subsequent Coronary Heart Disease risk based on the following risk factors obtained via the Electronic Health Records and/or patient self-report: age, systolic blood pressure, cigarette smoking status, fasting lipid level (totals and HDL Cholesterol), and diagnosis of diabetes. Points are assigned based on the presence or level of risk factors, and will be converted to risk percentages using a conversion algorithm. The range is 0%-22%, with 0% being the lowest risk and 22% being the highest risk of recurrent coronary heart disease. This score will be calculated for patients who have had a prior CHD event at the time of study enrollment based on diagnosis codes of prior Coronary Heart Disease event or ischemic stroke.

Investigators will determine the 2 year risk of Coronary Heart Disease in patients free of cardiovascular diseases at the time of study enrollment and include the following risk factors to be gathered via the Electronic Health Records or patient self-report: age, systolic blood pressure, cigarette smoking status, fasting lipid level (totals and HDL Cholesterol), diagnosis of diabetes, use of antihypertensive medication. Points are assigned based on the presence or level of risk factors, and can be converted to risk percentages using a conversion table. The range is 0%-43%, with 0% being the lowest risk and 43% being the highest risk of developing coronary heart disease.

The study will also measure healthcare utilization defined by routine clinical visits and/or other procedures associated with the clinical condition.

Medical care costs will be estimated using a resource-based method previously developed to assign costs to encounter data. Inpatient utilization will be measured using diagnostic-related groups (DRGs), outpatient utilization using relative value units (RVUs), and pharmacy utilization using average wholesale prices (AWPs). Inpatient costs will be estimated by applying national payment weights to DRGs, outpatient costs by applying a national conversion factor to RVUs, and pharmacy costs at 69% of the AWP during a reference year. Cost data will be analyzed using generalized gamma regression accounting for study arm and health system. The resources to both develop and implement the intervention will also be collected.