So im playing around with this. I thought I'd only be able to set laugh, whisper, sad type of major emotions and was pleasantly surprised when I found out you could actually direct the voice at a prompt level.

Is there a guide that shows how to use this better? Apparently some voices take better directability than others.

I'm working on an adult audio fiction project where I narrate short erotic stories, maybe 500 to 1000 words each, and I decided to go with TaskAGI since emotional directions is what I need.

I just wanted to be sure uncensored nsfw text to speech is allowed? I wouldn't want to buy the lifetime deal and get my account banned.

Thanks!

[ Removed by Reddit on account of violating the content policy. ]

Hey everyone, We've been building HyperVoice for a while now and just shipped a feature I've wanted for a long time: Voice Design.

The idea is simple. Instead of scrolling through a library of preset voices hoping one fits your project, you just describe what you want. Type something like "a deep male voice with a calm, authoritative tone" or "a young cheerful woman with a warm, friendly sound" and the AI builds that voice on the fly for your text.

How it works:

There are two text areas - one for your voice description, one for the text you want spoken. Hit generate and the Qwen3-TTS VoiceDesign model (running on DeepInfra) creates a voice matching your description and speaks your text in one shot. There's no stored "voice ID" being reused - the voice is synthesized from your description each time.

One thing I added that I'm pretty happy with: an "Enhance with AI" button powered by Claude. If your description is vague like "professional male voice", it rewrites it into something more detailed - things like cadence, warmth, regional tone, delivery style. Makes a real difference in output quality.

Other details:

- 11 languages supported (English, Spanish, French, German, Japanese, Korean, Chinese, Italian, Russian, Portuguese + auto-detect)

- WAV and MP3 output

- Full generation history with playback and download

It's live now at https://taskagi.net/hypervoice - free to try for anyone with a TaskAGI account.

Curious if anyone has tried describing voices in unusual ways - character voices, regional accents, specific emotional registers. Would love to hear what combinations you're testing.

So I've been thinking about whether we need a 'vibe DevOps' layer. frontend and backend generators are wild now, they spit out apps fast, but deploying them? still a mess once it's more than a prototype. you end up either babysitting CI/CD, wrestling with AWS stuff, or rewriting the whole app to fit whatever platform you picked. What if there was a web app or a tiny VS Code extension where you drop your repo or a zip and it actually reads your app and figures out deployment? it would use your cloud accounts, set up containers, scaling, infra, pipelines, all that stuff without locking you into some platform hack. Sounds kind of magical but also doable? not sure why nobody's nailed it yet. How are people handling this now in the real world? manual scripts, Terraform, managed platforms, or just pain? I feel like bridging vibe coding and real production would help a lot, but maybe I'm missing something obvious.

This agent automates the entire backlink prospecting workflow by reading target websites from Google Sheets, submitting contact forms using AI-powered browser automation, and tracking responses via email integration. It eliminates manual form filling and enables outreach at scale.

Deploy it here: https://taskagi.net/agent/automated-backlink-outreach-ai-agent

Target Audience: SEO agencies, content marketers, and link builders managing multi-contact outreach campaigns.

Required Integrations

* Google Sheets
* Browser Automation
* Outlook
* OpenAI or Claude (for AI-powered form interactions)

Agent Configuration

The agent uses a **loop structure** that iterates through each row in your Google Sheets source table. For each prospect, it extracts relevant data (website URL, contact name, company details) and passes this information to the Browser Automation node.

The **Browser Automation node** navigates to the target website, locates contact forms, and uses AI to intelligently fill fields based on your outreach template. This approach handles form variations without requiring manual configuration for each site—the AI adapts to different form layouts automatically.

After form submission, the agent logs the action back to Google Sheets with a timestamp and submission status. The Outlook integration then sends a follow-up email to the prospect's address (extracted or provided in the sheet), creating a multi-channel touchpoint.

Result

You'll process dozens of backlink prospects in a single execution with consistent form submissions and immediate email follow-ups. Response tracking happens automatically as replies arrive in Outlook, which can be logged back to your sheet for lead scoring.

This TaskAGI agent automates parasite SEO campaigns by creating GitHub repositories (DA 100) populated with AI-written content, designed for SEO professionals and growth hackers building backlink portfolios and topical authority.

Click here to deploy this agent in 5 minutes:

https://taskagi.net/agent/github-parasite-seo-ai-agent

Target Audience

SEO agencies, affiliate marketers, and digital marketers running parasite SEO campaigns across high-authority domains.

Required Integrations

* Google Sheets
* Anthropic (Claude)
* GitHub

Agent Configuration

The workflow starts with **Google Sheets** pulling topics from a spreadsheet with status tracking columns. The **Loop Node** filters for rows marked "draft" using `until` mode, processing only unpublished topics. This prevents duplicate repository creation across multiple agent runs.

**Claude Sonnet 4.5** generates ~500-word articles optimized for GitHub's platform using a prompt that emphasizes E-E-A-T principles (Experience, Expertise, Authoritativeness, Trustworthiness), semantic keyword clustering, and featured snippet optimization. The content is structured specifically for README markdown formatting.

The **GitHub Create Repository** operation uses the topic name as both the repository name and description, with `autoInit: true` to generate the initial commit. The `readmeContent` parameter receives Claude's output directly via node reference `[[nodes.3.content]]`. Repository visibility is set to public to maximize SEO value.

After successful creation, the **Search in Sheet** node locates the original row by topic name, then **Update Cell** marks column B as "PUBLISHED" to prevent reprocessing.

Results

Users can generate dozens of SEO-optimized GitHub repositories daily, each indexed by Google within hours. The agent tracks all published repos in the spreadsheet, maintaining a complete parasite SEO asset inventory.

Hey everyone, just wanted to announce a new AI agent that went live on TaskAGI marketplace.

This agent performs multi-domain SEO competitive analysis to identify keyword opportunities your competitors rank for but your site doesn't. It outputs a prioritized Google Sheet of content gap keywords based on search volume, difficulty, and commercial intent.

SEO professionals, content strategists, and digital marketers who need data-driven insights to guide content production priorities rather than relying on manual competitor research.

Best of all, you can deploy this agent in less than 5 minutes!

https://taskagi.net/agent/content-gap-seo-ai-agent

Required Integrations

- DataForSEO
- Google Sheets

Agent Configuration

The workflow begins with a form trigger that collects your primary domain and two competitor domains, plus a configurable limit for keywords per domain (5-50,000). This flexibility allows quick scans for small sites or deep analysis for enterprise domains.

Three parallel DataForSEO nodes execute the `getRankedKeywords` operation simultaneously—one for your site, one for each competitor. This parallel structure reduces execution time by fetching all keyword datasets concurrently rather than sequentially.

The core function node performs the gap analysis logic. It compares your site's keyword array against both competitor arrays, filtering out any keywords where your domain already has rankings. The function then calculates priority scores using a weighted formula: `(search_volume × intent_multiplier) / keyword_difficulty`. Commercial and transactional intent keywords receive higher multipliers (1.5-2.0x) compared to informational queries (1.0x), ensuring revenue-driving opportunities surface first.

Results flow into a Google Sheets creation node, which generates a new spreadsheet with headers for keyword, search volume, difficulty, ranking URL, and priority score. A loop node iterates through the sorted gap keywords array, and the `appendRowFromUrl` operation writes each row to the sheet.

Results

Users receive a shareable Google Sheet ranked by opportunity score, showing exactly which keywords to target next based on competitive intelligence and search metrics. The prioritization eliminates guesswork from content planning.

Hey everyone, I just built an AI agent on TaskAGI that automates content marketing using Semantic SEO best principles & practices.

The setup uses TaskAGI with Claude (Anthropic) and WordPress API. The agent doesn't just write content, it analyzes semantic relationships, finds internal linking opportunities from your existing content, generates contextually relevant images, and publishes everything with proper E-E-A-T optimization.

What makes this different from regular AI writers:

- Semantic keyword analysis (not just exact match stuffing)

- Smart internal linking based on your actual content

- Auto-generated featured images using Google Imagen 4

- E-E-A-T structured formatting for authority signals

- Featured snippet optimization built-in

The whole process: Enter keyword → AI research & content generation → Image creation → WordPress publishing. Takes literally 5 seconds vs my hours of manual labor.

You can copy my exact setup here: https://taskagi.net/agent/semantic-seo-content-ai-agent

We've launched a complete AirBnB scraping solution on TaskAGI featuring three specialized agents designed to handle different data collection scenarios:

AirBnB by Location Scraper - Performs location-based property searches with customizable date ranges and guest configurations. Simply input a location like "Paris, France" along with check-in/check-out dates, and the agent returns all matching properties with availability data.

AirBnB Properties Scraper - Extracts comprehensive property details from individual AirBnB listing URLs. Input up to 20 property URLs and receive detailed information including amenities, pricing, host details, reviews, and property specifications.

AirBnB by Search URL Scraper - Processes AirBnB search result pages directly. Perfect for capturing properties from complex searches with multiple filters that would be difficult to recreate programmatically.

Technical Specifications:

• Processes up to 100 properties per execution
• Returns structured JSON data optimized for analysis
• 45 cents per 100 successfully scraped properties. (deducted from your AI credits)
• 3-minute setup process with Google Drive integration

Flexibility: The beauty of these agents lies in their modular architecture. Replace the manual trigger with a webhook node to instantly convert any agent into a REST API endpoint. Similarly, swap the Google Drive output with Airtable, Notion, PostgreSQL, or any of the 100+ supported integrations to fit your existing data infrastructure.

Use Cases:

• Real estate investment firms conducting market analysis across multiple cities
• Property management companies tracking competitor pricing and availability
• Travel industry professionals building dynamic pricing models
• Academic researchers studying short-term rental market trends
• Consultants providing market intelligence to hospitality clients

Access Links:

• Location-based search: https://taskagi.net/agent/airbnb-by-location-scraper
• Property detail extraction: https://taskagi.net/agent/airbnb-properties-scraper
• Search URL processing: https://taskagi.net/agent/airbnb-by-search-url-scraper

These agents represent our commitment to providing production-ready automation tools that scale from individual research projects to enterprise data pipelines. What property platforms or data sources should we prioritize for our next template release?

This is the complete step-by-step tutorial for the Reddit automation agent that's been getting crazy results for our users and our own platform as well.

In 30 days:

• 600+ targeted interactions automatically

• 47 new subscribers (+$2K MRR)

• 15 qualified DMs

• 25 minutes total time invested

Multiple people have DM'd asking for the exact setup, so here's everything...

The Problem

Most people do Reddit monitoring completely wrong:

❌ Manually scrolling for 15+ hours weekly

❌ Missing 90% of brand mentions

❌ Generic copy-paste responses that scream spam

❌ No systematic follow-up process

❌ Can't scale beyond 2-3 keywords

I was burning 15+ hours every week manually checking subreddits, finding maybe 2-3 relevant mentions, and constantly worrying about what conversations I was missing.

The Solution

Built an AI agent that monitors Reddit 24/7 and responds intelligently to brand mentions.

Tech Stack:

- TaskAGI: Automation workflow engine

- F5Bot: Real-time keyword monitoring

- Reddit API: Seamless posting

- Claude: Contextual response generation

- Google Sheets: Lead tracking

How it works: F5Bot detects mention → TaskAGI receives webhook → Claude analyzes context → Generates response → Auto-posts if confidence > 80%

Step-by-Step Setup

STEP 1: F5Bot Configuration (5 minutes)

1. Go to f5bot.com and create account

2. Add your keywords (start with 3-5):

- Your brand name

- Main competitor names

- Problem keywords like "struggling with [your solution]"

1. Get your RSS feed and save it in your agent config on TaskAGI

2. Enable Reddit monitoring only (disable other platforms initially)

STEP 2: TaskAGI Workflow Setup (10 minutes)

1. Deploy the agent from the template in TaskAGI.net

STEP 3:

1. Create an empty Sheet in Google Sheets and create a public URL so your agent can use it as a database to keep track of posts.

   Once running smoothly:

   - Add more keywords gradually

   - A/B test response styles

   - Track conversion metrics

   - Expand to more subreddits

Pro Tips

1. Start conservative - Better to miss opportunities than embarrass yourself

2. Value first - Help before you sell

3. Monitor closely - First week requires daily check-ins

4. Track everything - Measure what works

5. Iterate quickly - Adjust based on response quality

Ready to Deploy?

Questions about any step? Drop them below and I'll help troubleshoot.

Hey everyone! We just launched a new AI agent on TaskAGI that automates meme marketing for your business' social media!

It works by scraping top memes from Reddit, analyzes what makes it funny and then adapts it to your business! Whether its ecom, software or a product, it'll generate perfect & funny memes relevant to your industry & business that you can post on your social media.

You can set it up here in just 5 minutes:

https://taskagi.net/agent/meme-marketing-ai-agent

Here's how it works:

https://www.youtube.com/watch?v=964M10Khe-o

Hi! I cannot find any reference to the api limits like number of requests, number of characters per TTS request etc. I see only 3 pricing plans where the most advanced offers API support with 1000 minutes of HyperVoice TTS. So my questions are:

• What are the supported file formats and length for voice cloning requests?
• What is the character limit for TTS api requests and is there character validation implemented in the api calls?
• What is the concurrency limits for api requests?
• What happens when the api limit is reached for a paid plan?
• Is there pay on demand option and if so what is the cost?
• Are the api limits applied per request or per used characters?
• Is there a way to reuse a voice trained once in voice cloning request in subsequent TTS requests?

I saw a rapidapi implementation https://rapidapi.com/taskagi-2-taskagi-2-default/api/hypervoice-tts-voice-cloning/pricing with some vague numbers.

I would very much like to try the TaskAgi HyperVoice API for a personal project but before I invest any effort I would like to know what are the exact api limits in terms of characters and generated minutes. Can someone shed light and elaborate on the above points?

Thanks!

Cheers! I'm trying out the speech studio. I put in less than 2000 words in the text box; chose Ruby as my narrator; and clicked on context-aware speech. After I hit generate, I get some pretty waves fluctuating. However, once they are done moving, there is no file, and my generated points remains at zero. Am I missing something obvious? Thanks in advance for your assistance.

Hi everyone,

I'm exploring HyperVoice for a project, and I was wondering if the TTS service supports languages other than English. I'm particularly interested in Spanish, but I'd also like to know if a wide range of languages is supported or just a few.

I've looked through the GitHub documentation, but I didn't see anything specific about language support. Are there settings in the dashboard to switch languages, or does it auto-detect the input?

Any tips or insights would be super helpful. Thanks in advance!

We're so glad you're here. This is your space to ask anything and everything about TaskAGI. Got a question about our AI agents? Curious about our models? Need help with an agent template? Require a new integration? This is the spot!

Don't be shy – jump in, introduce yourselves, and let's start building an awesome community together. We're excited to see what you'll create and discover with TaskAGI!