Agents for Alfred

Marketing Campaign Agent

What This Agent Does (Description)

The Campaign Launcher Super Agent is an all-in-one automation system that handles the entire lifecycle of launching a marketing campaign, from creative generation to audience segmentation and notification — with minimal human effort.
Once a marketer submits a campaign brief form, this agent automatically triggers a multi-step pipeline that:

1. Reads Campaign Brief Input

Accepts inputs like campaign name, objective, target platforms (Meta/Google), audience segments, tone, offer, and deadlines.
Parses input to determine platform-specific workflows.

2. Generates Campaign Creatives with AI

Uses GPT to write compelling headlines, CTAs, and descriptions.
Uses DALL·E or a design API to generate visual assets based on the brand tone, theme, and offer mentioned.
Optionally adds brand logo, colors, and formats into template-based visuals.

3. Builds Targeting Structure via Loop

Loops through each audience segment (e.g., "Working Moms," "Fitness Enthusiasts") defined in the form.
For each segment:
Defines targeting parameters (age, interests, location).
Creates a tailored message angle using GPT.

4. Handles Conditional Platform Workflows

If Meta Ads selected:
Prepares campaign structure (Campaign → Ad Set → Creative).
Uses HTTP request to save or schedule it via Meta Ads API.
If Google Ads selected:
Structures search/display campaign with suggested keywords and ad extensions.
Sends it to Google Ads API (via HTTP block or webhook).

5. Stores Everything in Project Tracker

Saves all creative assets, copies, segments, and performance goals in:
Google Sheets or Notion database for campaign tracking.
Google Drive or Dropbox for creative storage.

6. Notifies the Team

Sends a Slack or Email message summarizing:
Campaign structure (platforms, budget, goal)
Creative preview
Assigned owner/team
Launch readiness status

Bonus Enhancements:

Approval Toggle: If “Approval Required = Yes,” pause final scheduling and notify manager.
Launch Reminder: Auto-schedule a Slack reminder on launch day.
Post-Launch Tracker: Connect to analytics agent to track CTR, conversions, and auto-optimize.

1. Approval Workflow Toggle

Purpose: Add human verification before campaign goes live.
Workflow:
If “Approval Required = Yes”, the agent pauses just before final API push.
It sends:
A preview of ad creatives
Targeting structure
Budget and dates
Summary of GPT-generated copy
To: Approver (via Slack or Email)
Once approved via a button/form or Slack response, the campaign proceeds to be scheduled.

2. Launch Day Reminder Scheduler

Purpose: Keep teams aware of the go-live moment.
Workflow:
Based on the campaign start date entered in the form,
The agent calculates the exact datetime and:
Schedules a Slack reminder 30 mins before launch
Includes checklist (e.g., double-check tracking, landing page live, budget settings)

3. Post-Launch Performance Tracker Hook

Purpose: Automatically loop the campaign into ongoing monitoring.
Workflow:
Once the campaign is launched:
Store campaign ID, launch date, and owner in a campaign-tracking sheet
Send this data to a second agent (e.g., the Performance Optimizer Agent)
That agent pulls metrics (CTR, CPC, ROAS) 3 days post-launch and summarizes them

Tools & Integrations Suggested

GPT-4 or Claude (creative generation)
DALL·E or Canva API (visual generation)
Meta Ads & Google Ads APIs (HTTP)
Notion or Google Sheets (tracking)
Slack or Gmail (notifications)
Typeform or Tally.so (form input)

Social Listening & Trend Response Agent

Objective

This agent will actively monitor the brand’s online presence, identify sentiment and trends, generate reactive content using AI, notify relevant internal teams, and help transform real-time conversations into marketing actions.

What This Agent Will Do

Once deployed, the Social Listening & Trend Response Agent will:
Continuously Monitor Multiple Channels
Track brand mentions, keywords, and trends across:
Google (via Serper.dev)
Twitter (mentions, hashtags)
Reddit, YouTube comments, or forums (via Apify)
Run on a scheduled trigger (hourly/daily)
Loop Through All Mentions
For each mention/post:
Extract source, author, message
Classify sentiment using GPT (Positive, Neutral, Negative)
Categorize topic (e.g., Product, Support, Trend, Influencer)
Handle Based on Sentiment & Context
If Negative:
Tag as PR, Product, or Support issue
Escalate to respective Slack channel
Auto-draft internal escalation message
If Positive:
Check if author is influencer (based on followers or verified tag)
If yes, push to Influencer Tracker
If user-generated content (UGC), generate a thank-you note or meme
If Trending Topic Detected:
Trigger GPT to generate 3 post ideas + CTA suggestions
Auto-create memes or creative visuals using DALL·E or Canva API
Store and Organize Outputs
Save all content (text + images) to Notion database and/or Google Drive
Tag and log each mention and response in a Google Sheet (for history)
Optional Auto-Reactions
If config allows:
Auto-like, reply, or DM users directly from Twitter
Auto-post reactive content to social platforms via webhook
Send Real-Time Alerts to Internal Teams
Use Slack to notify:
Product team (feature mentions or bugs)
Customer support (complaints)
Growth team (campaign trends or new ad formats)
Include GPT-generated summary + recommended action buttons
End-of-Day Digest
Generate and send a digest of:
Top mentions
Negative vs. positive breakdown
New content created
Escalations logged
Email or post to #marketing-daily or #brand-intelligence Slack channel
Trigger Campaign Launcher Agent
If a trend gains momentum for 2+ days or has high engagement
Pre-fill campaign brief for next-day planning or execution

Advanced Features / Logic

Conditional IF/ELSE blocks for platform-specific actions
Loop block to iterate through all mentions and filter duplicates
Delay blocks to manage timing of alerts and publishing
Webhooks to connect with other systems (e.g., Slack, Twitter API, Notion, Google Sheets, Meta Ads)

Tools to Integrate

Serper.dev / Apify – Data extraction
OpenAI GPT / Claude – Summarization, content generation
Slack – Alerts and escalation
DALL·E / Canva API – Creative visuals
Notion / Google Sheets / Google Drive – Content storage
Twitter API / Zapier Webhook – For auto-replies or scheduling

HR Lifecycle Agent

Goal

Automate the entire HR lifecycle, from hiring request to exit — including job postings, interviews, onboarding, leave tracking, engagement, policy communication, and performance summaries — all in a single, intelligent workflow using Activepieces’ capabilities (conditions, loops, delays, AI blocks, APIs).

Core Functional Workflows (To Be Implemented)

1. Job Requisition & Approval

Trigger: Hiring manager submits new position request via form.
Actions:
Auto-generate job description using GPT.
Notify HR lead on Slack.
Create entry in Hiring Tracker (Notion/Google Sheets).
IF approval = yes → proceed to Job Posting.

2. Job Posting & Distribution

Post jobs to:
Internal board (Notion/Sheet)
LinkedIn page (Webhook/API if available)
Email to all employees for referrals
Store all listings in one dashboard.

3. Resume Collection & Filtering

Trigger: Candidate submits application via form or job portal.
Actions:
Parse CV, extract data (name, role, experience).
GPT ranks fit (Fit / Average / Reject).
If “Fit” → Add to shortlist + notify recruiter.
If “Reject” → Send polite rejection email.
Avoid duplicates with deduplication logic.

4. Interview Management

Schedule interviews using Google Calendar API.
Auto-send invites to panel + candidate.
Post-interview:
Send feedback form to panel.
Store ratings in hiring tracker.

5. Offer Letter Flow

If candidate marked "Selected":
Auto-draft offer letter via GPT using predefined structure.
Send offer to candidate via email.
Track acceptance status.
IF accepted → start onboarding.
IF declined → reassign to recruiter.

6. New Hire Onboarding

Trigger: Offer accepted.
Actions:
Send welcome email with checklist + policy pack.
Notify IT for system setup.
Add to Slack + Notion + Onboarding Tracker.
Schedule intro meetings via Calendar.

7. Leave Request & Approval

Trigger: Employee applies leave via form or Slack command.
Actions:
Check balance.
Notify manager for approval (Slack).
Update leave tracker (Sheet/Notion).
Auto-send approval/rejection to employee.

8. Employee Engagement & Sentiment

Weekly:
Send mood-check form.
Use GPT to summarize team morale.
Suggest culture actions (e.g., Coffee Roulette, Gratitude Wall).
Share report with HR + leadership.

9. Exit Workflow

Trigger: Resignation submitted.
Actions:
Trigger exit interview + clearance checklist.
Notify IT to revoke access.
Auto-draft experience letter via GPT.
Announce departure internally.

10. HR Reminders & Announcements

Scheduled:
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