Documentation Index
Fetch the complete documentation index at: https://docs.10et.ai/llms.txt
Use this file to discover all available pages before exploring further.
Templates encode domain expertise so agents don’t start from a blank canvas. Each template provides funnel stages, reward functions, psychology frameworks, and anti-patterns specific to a domain.
Using Templates
# Scaffold a dating agent world
tenet init --template dating
# Default GTM template (existing behavior)
tenet init
What a Template Contains
templates/dating/
├── FUNNEL.md # matched → messaging → deep → meet
├── SIGNALS.md # reply_rate, response_time, sentiment
├── REWARDS.md # reply +1, meet +10, skip -0.5
├── PSYCHOLOGY.md # push-pull, vulnerability, timing
├── ANTI_PATTERNS.md # triple-text, interrogation, generic openers
├── MODES.md # bold, playful, chill, intellectual
└── connectors/ # platform integration stubs
Template Loader
import { loadTemplate } from '10et'
const config = loadTemplate('dating', projectRoot)
// Returns structured config from the markdown files:
// { funnel: [...stages], rewards: [...signals], antiPatterns: [...], modes: [...] }
Creating Custom Templates
Create a templates/your-domain/ directory with the standard files. The DomainEngine reads and parses the markdown into structured configuration.
FUNNEL.md
Define your pipeline stages:
## Dating-Specific Stages
- **matched** — initial match on platform
- **opened** — first message sent
- **messaging** — active conversation
- **deep** — meaningful connection
- **meet_proposed** — date suggested
- **met** — in-person meeting
REWARDS.md
Define your reward function:
## Signal Rewards
- reply: +1
- fast_reply: +0.5 (within 1 hour)
- meet_proposed: +3
- meet_confirmed: +10
- user_sent_as_is: +0.5
- user_edited: -0.1
- user_skipped: -0.5
