Access
Get the tools.
Free or subsidized access to AI models, coding agents, cloud resources, learning tools, and other technology where available.

Chahal Foundation gives adults access to advanced AI tools, hands-on AI coding, practical training, mentors, and the human judgment skills used to evaluate and improve AI systems.
Learn AI. Build with AI. Evaluate it. Improve it. Turn those skills into opportunity.
See how delivery worksThe AI Opportunity Initiative is live and expanding in phases.
AI systems can generate answers, code, images, plans, and actions. But people still determine whether those outputs are correct, useful, safe, complete, and actually work.
Chahal Foundation helps people develop the tools and judgment to participate in the AI economy as contributors, not just consumers.
Chahal Foundation exists to make those skills accessible to people who may otherwise be priced out of the tools and professional networks shaping AI.
You do not have to stand outside the AI revolution.
You can help shape it.
People do the work AI cannot:
Those abilities can be taught and strengthened.
The goal is not simply AI literacy. It is a pathway from access, to building, to evaluation, to qualification, to economic opportunity.
Each stage builds on the one before it. Learners can enter wherever they are and keep the work they produce along the way.
Get the tools.
Free or subsidized access to AI models, coding agents, cloud resources, learning tools, and other technology where available.
Make something real.
Learn by creating real projects rather than only watching lessons.
Learn how AI gets better.
Review outputs. Compare responses. Identify mistakes. Define quality. Test code and agents. Correct results.
Prove what you can do.
Complete projects, practical assessments, portfolio work, and relevant credentials.
Turn capability into economic opportunity.
Career preparation, mentorship, employer introductions, internships, paid projects, and pathways toward work.
Employment and paid opportunities are not guaranteed.
Companies, foundations, workforce organizations, schools, and governments are already investing in AI skills and economic opportunity. Chahal Foundation can help turn those commitments into measurable local outcomes.
A delivery partner receives a defined outcome mandate and is accountable for executing it.
In practice: local learner recruitment, eligibility and onboarding, technology access, structured instruction, Picasso and project-based learning, Human Data and AI evaluation, practical assessment, mentorship, career readiness, employer connection, outcome measurement, and quarterly reporting.
The funder sponsors a Chahal Foundation cohort or program directly, against a defined learner capacity and reporting schedule.
A national program operator or grantee holds the primary funding and mandate, and Chahal Foundation operates the Bay Area cohort or the Human Data and AI evaluation component.
A technology company provides compute, AI credits, software, devices or curriculum while a separate funder supports program delivery.
Companies contribute mentors, real projects, internships, interviews and hiring pathways rather than cash.
The goal is not to force every partner into one funding structure. It is to make Chahal Foundation straightforward to plug into an AI-opportunity commitment that already exists.
Tell us whether you are a learner, parent, mentor or company, and what kind of access or support would help most. You do not need a technical background to begin.
Register for upcoming AI Opportunity programs, cohorts, and free tool access as they become available.
Picasso is Chahal Foundation’s hands-on AI coding and learning environment.
The project becomes the classroom.
When someone builds with AI, they naturally practice many of the same judgment skills used throughout modern AI evaluation.
They learn to instruct models, inspect outputs, identify errors, compare alternatives, test results, and decide whether something is actually good enough.
That is why AI coding can be more than software education.
It can become practical preparation for the AI economy.

Human Data & AI Evaluation Pathway
Human Data is the industry term for work people do to test and improve AI. In practice it means comparing outputs, finding mistakes, reviewing code, and deciding whether AI actually completed a task correctly.
Many AI programs teach people how to use AI. Chahal Foundation also teaches the human skills used to test, evaluate and improve AI systems.
Behind better AI systems are people who evaluate outputs, identify failures, compare answers, define evaluation criteria, review code and test agents.
Is an AI response correct, useful, complete, and appropriate?
response quality assessment
Which answer is stronger, and why?
preference ranking
What should a high-quality response contain?
evaluation criteria design
Where does the model make mistakes or break down?
adversarial probing, red teaming
Does AI-generated code actually work?
code correctness review
Did the AI agent complete the task correctly?
agentic task evaluation
Evaluate AI involving text, images, audio, video, and other modalities.
cross-modal assessment
Understand how human demonstrations, feedback, review, and evaluation contribute to robotics and embodied AI systems.
demonstration data, embodied evaluation
Participants may become qualified for roles such as:
Interview preparation, portfolio review and application support built into the pathway.
Introductions to employer partners who are hiring for AI evaluation and AI-enabled roles.
Assessments and credentials that give employers an independent signal of the skill.
This is a pathway to paid work, not a job guarantee. Completing the program does not guarantee employment, and hiring decisions always belong to employers.
Planning target
Our current planning target is approximately $500 in cash program support per learner, with AI, cloud, model, software and other technology contributed separately where possible.
The unit exists so an institutional partner can assign a measurable cohort size, then hold the Foundation to it.
These are target planning capacities, not historical Chahal Foundation cost results or guaranteed enrollment figures. Actual cohort economics depend on program design, learner needs, technology contributions, curriculum, support requirements and partner scope.
The target $500 supports
Technology partners can contribute additional in-kind resources alongside cash support:
$50K
100 learners
Target capacity
$250K
500 learners
Target capacity
$500K
1,000 learners
Target capacity
$5M
10,000 learners
Target capacity
Target capacity only, derived from the $500 per-learner planning target. These figures describe intended delivery capacity, not learners already served.
Whether your organization has committed cash, AI credits, cloud capacity, employee expertise or workforce opportunities, Chahal Foundation can help turn those resources into people trained, skills demonstrated, credentials earned and pathways to economic opportunity.
Sponsor learners, cohorts or community programs.
Provide AI models, API credits, cloud compute, coding tools, hardware and connectivity.
Provide curriculum, workshops and employee experts.
Give employees structured ways to mentor learners.
Create internships, apprenticeships and career pathways.
Receive transparent reporting on:
Partner language here is deliberately company-neutral. Chahal Foundation has no current funding relationship with any technology company or foundation.
Chahal Foundation is based in San Jose, in the center of the AI economy. That location puts the Foundation close to the companies, colleges, workforce systems and technical mentors shaping AI.
The mission is specifically to make those tools and networks reachable for people who would not otherwise have access to them.
Proximity gives access to
Proximity describes where the Foundation operates and who it can reach. It is not a claim of any existing partnership, endorsement or funding relationship.
The programs are grouped by what they do for a learner rather than presented as a flat directory.
Remove the cost and access barrier first.
AI for Everyone
Practical AI literacy and responsible use for people outside technology networks.
AI Access Labs
Guided access to AI tools, coding assistants and project-based learning environments.
Picasso / Free AI Coding
Hands-on AI coding where learners direct, review and test real work.
AI Teacher Corps
Educator training, classroom-ready resources and responsible-AI practice.
Build the judgment skills the AI industry actually uses.
AI Workforce Transition
Retraining and career navigation for workers adapting to AI-driven job change.
Human Data & AI Evaluation
Model evaluation, rubrics, response comparison, failure discovery and agent testing.
AI Career Navigator
Skill gaps, resumes, interviews, portfolios and realistic AI-era career paths.
AI Mentor Corps
Volunteer mentors for mock interviews, portfolio feedback and career guidance.
Responsible AI Education
Safe AI use, privacy, misinformation and productive use for school and work.
Connect qualified people to real economic opportunity.
AI Infrastructure Workforce Academy
Data-center, electrical, fiber, cooling, networking and energy career pathways.
AI Entrepreneurship Initiative
Training and mentorship for founders using AI for operations and growth.
Community AI Labs
Local access points combining devices, connectivity, guided learning and mentors.
Employer & Corporate Partnerships
Internships, apprenticeships, employer introductions and hiring pathways.
These are the measures the initiative reports against, not results already achieved. Measurement begins with the first cohorts, and values are published once they are verified. Fundraising activity is reported separately from learner outcomes.
Program metric
Program metric
Program metric
Program metric
The training reflects skills genuinely used across the AI industry, which is why the curriculum is built around evaluation, rubrics, code review and agent testing.
Charitable funding supports
EIN 39-5160137. 501(c)(3) public charity. Contributions are tax-deductible to the extent allowed by law.