Field guide 001Discover โ†’ Learn โ†’ Build โ†’ Apply

Learn AI by buildingreal workflows.

Two field-tested paths connect concepts to architecture, hands-on work, production constraints, and the systems your team already operates.

Start with AI in MarketingCompare both tracks

Choose a track

Start by what you need to operate.

Both paths begin with a clear operating boundary and end in production reality. The marketing track starts from the business workflow. The building track starts from the system architecture. They meet in the capstone.

Track 0110 MODULES

For marketers, operators, and AI leads

AI in Marketing

Move from isolated prompts to a marketing system your team can run.

OutcomeA scoped AI-native marketing workflow and a 90-day deployment briefEffort8โ€“10 hours across 10 modules
Open the field guide
Track 0212 MODULES

For builders, AI leads, and technical teams

Agent Building

Build agents that survive permissions, failures, review, and real operating cost.

OutcomeA reviewed marketing research agent with traces, evals, and a production readiness decisionEffort12โ€“16 hours plus a 3โ€“5 hour capstone
Open the field guide

Roadmap preview

Two paths. One production capstone.

Every node is a semantic link and an indexable lessonโ€”not a decorative diagram.

AI in Marketing

TRACK 01
  1. 00AI-Native Marketing Foundations35 min
  2. 01AI Research & Customer Intelligence45 min
  3. 02AI Content Operations50 min
  4. 03SEO, GEO & AI Search50 min
  5. 04Creative & Performance Marketing45 min
View all 10 modules

Agent Building

TRACK 02
  1. 00AI Agents vs Workflows35 min
  2. 01LLM APIs & Structured Outputs50 min
  3. 02Tool Use & Function Calling55 min
  4. 03Context, Memory & State55 min
  5. 04RAG & Knowledge Retrieval65 min
View all 12 modules

Choose by role

Enter the graph through the decision you own.

01

Marketer

How do I turn AI into a repeatable marketing workflow?

Start with AI in Marketing02

Builder

How do I build an agent that can use tools and survive real failures?

Start with Agent Building03

AI Lead

How do I evaluate, govern, and operate these systems in production?

Go to production readiness

Featured hands-on projects

Leave with operating artifacts.

Research system01

Build a cited market brief

Collect approved evidence, preserve sources, surface uncertainty, and route the synthesis to an analyst.

Open project brief โ†’
Content system02

Design a content state machine

Connect evidence, briefing, review, publishing, distribution, and refresh in one visible workflow.

Open project brief โ†’
Capstone03

Build a marketing research agent

Combine tools, state, retrieval, approval, evals, traces, and cost controls in one useful agent.

Open project brief โ†’

Existing Tenten research tools

The graph connects what already works.

The Learning Hub does not replace current resources. It gives each tool and field guide a clear role inside a learner's next decision.

Tool

AI Career Roadmap

Choose a learning path by role and the proof you want to build.

Open resourceTool

AI Model Leaderboard

Compare models by capability before making an architecture decision.

Open resourceTool

ROI Calculator

Turn workflow time and cost assumptions into a testable business case.

Open resourcePlaybook

FDM Enterprise Playbook

A field guide for deploying an AI-native marketing operating model.

Open resource

Proof meets practice

Built from delivery work, not a certificate catalog.

Tenten brings 15+ years of digital delivery across 300+ brands and 600+ projects. These field guides make the architecture, controls, and operating decisions behind AI delivery useful before a buyer ever starts a project.

15+years
300+brands
600+projects

Apply what you learn

Bring us one stuck workflow.

Tell us what the team does today, where it waits or fails, and what a useful result would change. We will help determine whether it is ready to build.

Discuss the workflow