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Format specifikacije agenta

Tajo agenti definiraju se u markdown datotekama. Svaka datoteka sadrži YAML frontmatter (identitet, alati, ograničenja) i tijelo u markdownu (upute, strategija, pravila). Taj je format nastao po uzoru na produkcijske obrasce agenata koji se koriste u sustavima za orkestraciju više agenata.

Struktura datoteke

---
name: agent-name
description: What this agent does (max 160 chars)
version: 1.0.0
temperature: 0.2
max_tokens: 4096
tools:
- brevo_contacts
- brevo_email_campaign_management
- brevo_sms_campaigns
triggers:
- event: cart_abandoned
- schedule: "0 */4 * * *"
permissions:
- contacts:read
- email:send
- sms:send
---
# Agent Name
Instructions for the agent in natural language...

Polja u frontmatteru

Obavezna polja

PoljeVrstaOpis
namestringJedinstveni identifikator u kebab-caseu (npr. cart-recovery-agent)
descriptionstringŠto ovaj agent radi (najviše 160 znakova)
versionstringSemantička verzija (npr. 1.0.0)
toolsarrayModuli Brevo MCP poslužitelja kojima ovaj agent smije pristupati

Polja ponašanja

PoljeVrstaZadanoOpis
temperaturefloat0.3Temperatura LLM-a. Niže znači determinističnije. Koristite 0.1-0.2 za operacije s podacima, a 0.3-0.5 za osmišljavanje kampanja
max_tokensinteger4096Najveća duljina odgovora po potezu
modelstringclaude-sonnet-4-6LLM model koji se koristi

Polja okidača

PoljeVrstaZadanoOpis
triggersarray[]Događaji, rasporedi ili webhookovi koji aktiviraju ovog agenta
triggers[].eventstring-Naziv događaja (npr. cart_abandoned, customer_created)
triggers[].schedulestring-Cron izraz (npr. 0 9 * * * za svaki dan u 9 sati)
triggers[].webhookstring-Putanja webhooka (npr. /agents/cart-recovery/trigger)
triggers[].conditionsarray[]Uvjeti filtriranja za okidač
triggers[].debouncestring-Prozor za sprječavanje ponavljanja (npr. 5m, 1h)

Polja dopuštenja

PoljeVrstaZadanoOpis
permissionsarray[]Opsezi dopuštenja potrebni za trag revizije
related_agentsarray[]ID-jevi agenata kojima ovaj agent smije delegirati posao
escalationstring-Kamo usmjeriti slučaj kada agent nije siguran (human, supervisor-agent)

Alati: preslikavanje na Brevo MCP poslužitelje

Polje tools upućuje na nazive modula Brevo MCP poslužitelja. Svaki se modul preslikava na određenu krajnju točku na mcp.brevo.com:

tools:
# Contacts & Segmentation
- brevo_contacts # /v1/brevo_contacts/mcp
- brevo_lists # /v1/brevo_lists/mcp
- brevo_segments # /v1/brevo_segments/mcp
- brevo_attributes # /v1/brevo_attributes/mcp
# Campaigns & Messaging
- brevo_email_campaign_management # /v1/brevo_email_campaign_management/mcp
- brevo_templates # /v1/brevo_templates/mcp
- brevo_sms_campaigns # /v1/brevo_sms_campaigns/mcp
- brevo_whatsapp_campaigns # /v1/brevo_whatsapp_campaigns/mcp
# Analytics
- brevo_campaign_analytics # /v1/brevo_campaign_analytics/mcp
# Sales CRM
- brevo_deals # /v1/brevo_deals/mcp
- brevo_companies # /v1/brevo_companies/mcp
- brevo_tasks # /v1/brevo_tasks/mcp
- brevo_pipelines # /v1/brevo_pipelines/mcp
- brevo_notes # /v1/brevo_notes/mcp

Tip

Koristite najmanji skup alata koji vaš agent treba. Manje alata znači bolje zaključivanje AI-ja i brže odgovore. Sve dostupne module pogledajte na stranici Brevo MCP poslužitelj.

Okidači

Okidači događaja

Aktivirajte agenta kada se u vašem sustavu nešto dogodi:

triggers:
- event: cart_abandoned
conditions:
- cart_value: "> 50"
- items_count: ">= 1"
- time_since_activity: "> 30m"
debounce: 5m

Okidači rasporeda

Pokrenite agenta prema ponavljajućem rasporedu:

triggers:
- schedule: "0 9 * * MON" # Every Monday at 9am
timezone: "America/New_York"
- schedule: "0 */4 * * *" # Every 4 hours
- schedule: "0 0 1 * *" # First day of each month

Webhook okidači

Pozovite agenta putem HTTP-a:

triggers:
- webhook: /agents/win-back/trigger
method: POST
authentication: api_key

Tijelo u markdownu: upute

Tijelo specifikacije agenta upute su na prirodnom jeziku. Napišite ih kao da dajete zadatak iskusnom marketinškom stručnjaku:

Struktura

# Agent Name
Context paragraph, what this agent does and why.
## Strategy
Step-by-step approach the agent should follow.
## Decision Framework
Rules for making choices (e.g., which channel to use based on cart value).
## Rules
Hard constraints, things the agent must ALWAYS or NEVER do.
## Templates
References to Brevo template IDs, SMS copy, WhatsApp templates.
## Metrics
Events to track for measuring success.

Pisanje učinkovitih uputa

Budite konkretni u pogledu strategije, ne samo ciljeva:

## Bad
Re-engage churned customers.
## Good
When a customer hasn't purchased in 90+ days:
1. Check their last 3 orders for product category preferences
2. Create a personalized discount based on AOV (10% if AOV > $100, 15% if < $100)
3. Send email with subject line referencing their preferred category
4. Wait 72 hours, if no open, send SMS with discount code
5. Wait 7 days, if no purchase, mark as deep-churn and stop sequence

Izričito odredite zaštitne mehanizme:

## Rules
- NEVER send more than 3 messages per sequence
- NEVER contact customers who unsubscribed
- ALWAYS check if the customer converted before sending the next step
- ALWAYS respect quiet hours (no SMS 9pm-9am local time)
- If unsure about a decision, escalate to human review

Lanci s više agenata

Za složene tijekove rada složite više agenata u lanac. Svaki agent obrađuje jednu fazu i prosljeđuje kontekst sljedećemu:

chain.yaml
name: quarterly-retention-campaign
steps:
- agent: customer-intelligence
input: |
Analyze customer segments for Q2 retention campaign.
Goal: {task}
Identify:
1. At-risk customers (declining purchase frequency)
2. VIP customers (top 10% by LTV)
3. Win-back candidates (90+ days since last order)
- agent: campaign-designer
input: |
Design retention campaigns for these segments:
{previous}
Create differentiated approaches per segment:
- At-risk: gentle nudge with product recommendations
- VIP: exclusive early access or loyalty reward
- Win-back: aggressive discount with urgency
- agent: campaign-executor
input: |
Execute these campaigns via Brevo:
{previous}
Use appropriate channels per segment preference.
Set up A/B tests for subject lines.
Schedule sends for optimal times.
- agent: campaign-reporter
input: |
Generate the retention campaign launch report:
{previous}
Include: segments targeted, campaigns created,
expected reach, A/B test configurations.

Varijable lanca

VarijablaOpis
{task}Izvorni cilj ili zahtjev
{previous}Rezultat prethodnog koraka
{step_N}Rezultat koraka N (indeks počinje od 0)
{artifacts_dir}Direktorij za izlazne datoteke

Gotove specifikacije agenata

Campaign Orchestrator

---
name: campaign-orchestrator
description: Design and execute multi-channel campaigns from natural language prompts
version: 2.0.0
temperature: 0.3
tools:
- brevo_contacts
- brevo_segments
- brevo_email_campaign_management
- brevo_templates
- brevo_sms_campaigns
- brevo_whatsapp_campaigns
- brevo_campaign_analytics
triggers:
- webhook: /agents/campaign/trigger
method: POST
---
# Campaign Orchestrator
You are a multi-channel marketing campaign specialist.
Given a campaign brief, you design, build, and launch
campaigns across email, SMS, and WhatsApp via Brevo.
## Process
1. Parse the campaign brief (audience, message, goal, timeline)
2. Create or identify the target segment in Brevo
3. Select the best channel(s) based on audience preference data
4. Build campaign content using existing templates or creating new ones
5. Configure send schedule and A/B tests
6. Launch and report initial delivery metrics
## Channel Selection
- Email: default for all campaigns
- SMS: add for time-sensitive offers or cart recovery
- WhatsApp: add for conversational campaigns or high-value segments
## Rules
- ALWAYS preview campaigns before sending
- NEVER send to unsubscribed contacts
- ALWAYS set up tracking for campaign attribution
- Maximum 2 A/B test variants per campaign

Customer Intelligence Agent

---
name: customer-intelligence
description: Autonomous segmentation, RFM scoring, and churn prediction
version: 1.5.0
temperature: 0.2
tools:
- brevo_contacts
- brevo_segments
- brevo_attributes
- brevo_lists
- brevo_campaign_analytics
triggers:
- schedule: "0 6 * * MON"
timezone: "UTC"
---
# Customer Intelligence Agent
You analyze customer data in Brevo to generate actionable
segments and insights for marketing teams.
## Weekly Analysis
1. Pull contact activity data from campaign analytics
2. Calculate RFM scores (Recency, Frequency, Monetary)
3. Identify segment shifts (customers moving between tiers)
4. Flag churn risks (declining engagement over 4+ weeks)
5. Generate segment recommendations for upcoming campaigns
## Segment Definitions
- Champions: R=5, F=5, M=5, recent, frequent, high-value
- Loyal: R>=3, F>=4, M>=3, consistent buyers
- At Risk: R<=2, F>=3, M>=3, were loyal, now fading
- Hibernating: R=1, F>=2, M>=2, long gone, were once active
- New: first purchase in last 30 days
## Output
Produce a markdown report with:
- Segment sizes and week-over-week changes
- Top 10 at-risk customers by LTV
- Recommended actions per segment
- Suggested campaign themes for the week

Implementacija

Programsko pokretanje agenta

import { TajoAgent } from "@tajo/agent-sdk";
const agent = new TajoAgent({
specPath: "./agents/cart-recovery-agent.md",
brevoToken: process.env.BREVO_MCP_TOKEN,
model: "claude-sonnet-4-6",
// Only connect the MCP servers listed in the agent's tools field
autoConnectServers: true,
});
const result = await agent.run(
"Recover abandoned carts over $50 from the last 4 hours"
);
console.log(result.summary);
console.log(result.toolCalls); // Full audit trail
console.log(result.metrics); // Events tracked

Pokretanje putem Claude Codea

Terminal window
# Point to your agent spec and let Claude execute it
claude "Run the agent defined in ./agents/cart-recovery-agent.md for today's abandoned carts"

Raspoređivanje pomoću crona

Terminal window
# Run the customer intelligence agent every Monday at 6am
0 6 * * MON claude --print "Run ./agents/customer-intelligence.md weekly analysis" >> /var/log/tajo-agents.log 2>&1

Sljedeći koraci

Zatražite rani pristup

Unesite ime te adresu e-pošte ili telefonski broj. Poslat ćemo vam pojedinosti o pristupu platformi Tajo.

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