AI Builder Lab
A hands-on AI academy for teams learning to build safer AI workflows.
Train your team to move from scattered AI usage to a shared operating model: better prompts, safer data handling, reusable Skills, basic agent literacy, and workflow maps ready for FORGE redesign.
Team Cohort
30-day access, up to 10 learners
Async guided labs, security simulations, learner artifacts, and manager-ready reporting without scheduling a half-day workshop.
- 8 modules and 12 guided Safe Builder labs
- Rubric plus AI feedback for paid learners
- 4 adversarial simulator drills
- 8 artifacts plus capstone workflow map
- Team progress and readiness reporting
In 30 days, your team stops treating AI like a magic text box.
Learners practice task framing, output validation, data boundaries, prompt injection awareness, reusable Skills, and workflow mapping. The output is not a certificate-only course. It is a set of artifacts your team can use for safer work.
Safe AI Task Brief
Prompt Improvement Checklist
Data Boundary Decision Map
Output Validation Checklist
Prompt Injection Risk Notes
Reusable Skill Draft
Agent/Workflow Design Map
FORGE Workflow Candidate Map
Fluency to workflow map.
The spine is Fluency, Prompting, Validation, Data Boundaries, Injection, Skills, Agents, and FORGE Workflow Map.
AI Fluency Since ChatGPT 3.5
Models, vendors, copilots, agents, context, tokens, Skills, MCPs/connectors, and tool permissions.
Artifact: AI Tool Landscape Notes
Prompting By Doing
Task framing, examples, constraints, review loops, and asking AI to challenge assumptions.
Artifact: Safe AI Task Brief
Research, Validation, And AI Skepticism
Hallucination detection, sycophancy detection, source checks, critique loops, and output validation.
Artifact: Output Validation Checklist
Safe AI Use At Work
Company data boundaries, approved tools, vendor risk, review expectations, private data, customer data, and regulated data.
Artifact: Data Boundary Decision Map
Prompt Injection And Tool Risk
Direct, indirect, output, and tool injection plus malicious Skills, malicious MCPs/connectors, and tool poisoning.
Artifact: Prompt Injection Risk Notes
Reusable Skills
Turn repeated work into reusable Skill-style artifacts with inputs, outputs, checks, constraints, and guardrails.
Artifact: Reusable Skill Draft
Agents And Workflow Design
Chat vs agentic work, tool permissions, first-pass/second-pass structure, human review, escalation, and schedule.
Artifact: Agent/Workflow Design Map
FORGE Workflow Mapping
Map one workflow through Baseline, Skills, Agents, Guardrails, Schedule, and Capture.
Artifact: FORGE Workflow Candidate Map
Start with a preview, then buy the right level of access.
The demo is intentionally no-backend. Paid seats unlock the actual learner environment, submissions, feedback, artifacts, and reporting.
Interactive Preview Lab
A guided clickable demo with sample responses, no account, no uploads, and no live AI backend.
Try the DemoChampion Seat
Full individual access for a team lead evaluating the Lab. Apply $199 toward a Team Cohort within 60 days.
Start Champion SeatTeam Cohort
Up to 10 learners, 30-day access, team reporting, security simulations, and manager-ready readiness summary.
Enroll Your TeamThe Lab creates the FORGE intake.
After the Lab, VibeSec can help turn learner artifacts into redesigned workflows. The advisory path starts from evidence: what the team tried, where they got stuck, and which workflow is ready for redesign.
Explore FORGE servicesSkills / Prompt Audit
Tool Adoption Review
Prompt Injection/Security Review
FORGE Discovery Workshop
FORGE Workflow Redesign
Enroll Your Team
Stripe provisions the owner seat and sends the secure access email after payment.
Is this generic prompt engineering?
No. Prompting is one part of the Lab. The differentiator is team operating standards: validation, data boundaries, prompt injection awareness, reusable Skills, agent literacy, and FORGE workflow mapping.
Is the public demo a free AI trial?
No. The demo uses synthetic data and canned sample states. It shows the learning loop without exposing a live model, upload surface, connector, or arbitrary prompt endpoint.
Who should start with a Champion Seat?
Managers, founders, enablement leads, operations leaders, and internal AI champions who need to experience the Lab before asking a team to enroll.
Ready to train safer AI builders?
Start with the no-backend preview, buy one Champion Seat, or enroll the team when you are ready.