PromptDojo for teams

train your whole team to build with ai

PromptDojo teaches teams the builder loop: say the problem, shape the tool, use the tool, inspect evidence, revise safely, and ship something useful.

Request team access View curriculum

46 chapters live1326 runnable stepsAI/ML path livecohort + self-paced

say the problem

name what keeps going wrong

shape the tool

give it a role and constraints

use the tool

run it on real work

inspect evidence

read the output carefully

revise safely

change one thing at a time

Shipped06

ship something useful

the artifact leaves the room

Working tool

Team artifact

Follow-up Tool

built in session one

Cohort ready

Designed for pilot cohorts first.

Spine plus electives structure. Track cohort progress and review artifacts against shared rubrics.

Evidence gates

No passive completion.

Pilot cohorts use artifact checkpoints so progress means evidence, not screen time.

Real work output

Teams leave with working tools.

Not slides. Not prompts to memorize. Tools that run on actual job problems each member brought.

Curriculum structure

spine + electives. gates not screen time.

Every team member runs the spine in sequence. Pilot gates use verified artifacts and rubric review before electives go deeper by domain.

Open team curriculum

Required spine

CH-00

CH-01

CH-02

CH-03

CH-04

CH-05

sample cohort view · 2 gates verified · gate 02 in progress.

2 verified1 in progress3 locked

Team lead preview

see the cohort, not a learner.

The dashboard preview shows gate state, pending reviews, elective interest, and per-member pace so pilot teams can shape the workflow before rollout.

Preview team dashboard

Q1 Builder Track

14 members active

gate 02 · in review

Members

Gates open

Artifacts

82%

Pace

Enterprise track · pilot

organizational AI works only when the context is shared.

Enterprise teams need more than prompts. They need repeatable operating practice for deploying AI into real systems: shared context, access control, observability, human gates, change management, and model-upgrade discipline. We are piloting this track with early Org cohorts.

Enterprise trackOrg plans · pilot rollout.

Built for internal AI rollout teams, IT leaders, operations owners, and next-gen FDE-style operators responsible for mission-critical workflows. Curriculum is rolling out cohort by cohort — talk to us about a pilot.

Shared context

One operating brief, not five private chats.

Teams learn to maintain source packets, decision logs, working examples, and retrieval boundaries so agents inherit the same facts the organization uses.

Access and egress

Map what agents may read, write, send, and change.

Every workflow gets an access map: data class, system owner, write scope, approval point, external door, rollback path, and receipt trail.

Observability

Make agent work inspectable before it becomes workflow.

Teams define traces, run logs, eval samples, escalation labels, and dashboard signals so leaders can see what changed and why.

Human gates

Put people at the decisions that carry risk.

The curriculum separates safe local drafts from approvals, production writes, customer messages, paid actions, and destructive operations.

Model churn

Treat model upgrades like process migrations.

When capabilities or costs change, teams re-run the egress map, regression prompts, eval set, cost route, and owner signoff instead of vibes-testing in prod.

AI implementation roles