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Live Help Session: Facebook Marketing Image Generator
In today’s session, we built a Canvas tool that generates Facebook marketing images on demand—no design skills needed. Using AskSpot’s AI image generation and chat input, we created a tool that lets you: 1. Describe your ad (voice or text) 2. Instantly generate a branded, eye-catching image 3. Download and use it for Facebook posts or ads Whether you're running promos, launching offers, or just need fast content for clients, this tool cuts your content creation time to minutes. Watch the full replay below and grab the duplicate link to try it out for yourself!
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Watch Me Build: Newsletter Assistant Canvas
Hey everyone! In this session, I walked through how to build a super practical tool inside AskSpot—a Newsletter Assistant Canvas that generates polished, on-brand newsletters in seconds. 🧠 Users enter a topic + tone 📬 AI returns a full newsletter draft—CTA, signature, and all 🎨 Fully branded and voice-enabled 🛠️ No sources or code needed Perfect for marketers, creators, and business owners who want fast, on-demand content. 🎥 Watch the build below and try it out yourself. Import Link is in the comments! #WatchMeBuild #NewsletterAssistant #AskSpotCanvas #NoCodeAI
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[REPLAY] Askspot New Features Live Stream
If you missed it live, or just want to rewatch, here is the replay... Time Stamps: - OpenRouter Integration (07:11): AskSpot now integrates with OpenRouter, allowing users to access dozens of AI models (like Claude, Gemini, Grok) with a single API key. This simplifies testing to find the best-performing model for any task. - New "Canvas" Tool (10:49): A new full-page, minimalist chat interface (similar to ChatGPT) is now available. Key capabilities include voice-to-text input and a built-in content editor (WYSIWYG) for formatting AI responses. It is positioned as a powerful tool for creating interactive lead magnets and can be embedded on any website. - AI Tools & API Integrations (40:53): A new "AI Tools" section allows for adding external functions to any assistant. This includes pre-built integrations for meeting schedulers (GHL, Calendly) and image generation. A powerful Custom API Tool was also released, enabling users to connect to virtually any external data source (e.g., live crypto prices, real estate data). - Pricing & Future Plans (59:58): All new features are included in existing plans at no additional cost. The development focus for the next quarter will be on refining existing features rather than launching major new ones.
[REPLAY] Askspot New Features Live Stream
🚨 Live Help Session: Holiday Home Prep Bot
Hey AskSpot community! In this session, we built a seasonal Holiday Home Prep Bot for a real cleaning company in Phoenix. This bot gives visitors an instant holiday checklist, suggests cleaning plans, collects leads, and helps convert traffic into booked services. Perfect for anyone serving local, service-based businesses who want fast, useful, niche-specific AI tools. Here’s what we covered: • 00:00 – Office Hours intro + Thanksgiving recap • 01:20 – Build overview for a real cleaning business • 03:06 – Adding Q&As, resources, and the holiday checklist • 07:02 – Chatbot customization + brand-matching design • 12:00 – Channels, CTAs, and automated lead capture • 16:18 – Deployment demo + testing the bot live Check the comments for the import link and source docs. Questions? Drop them here or email support@askspot.ai
API Endpoint for Selective Chat Data Retrieval
Hi AskSpot Team, I'm integrating AskSpot with external systems and currently rely on webhooks. The webhook delivers the entire conversation payload, which can be quite large, especially for estimation workflows. Is there (or will there be): - A REST API endpoint to fetch a chat session by ID - Ability to request only specific fields or variables (e.g., final estimate, user selections) - A way to define a schema for the exact data points we want returned - Support for partial exports instead of full conversation transcripts This functionality would be extremely valuable for storing structured outputs in databases or other systems without unnecessary overhead. Any guidance or roadmap details would be greatly appreciated. Thanks! Chandrakanth Udari
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