AI app for marketing · no coding needed
Instagram DM automation and lead qualification console
Answer and qualify Instagram direct messages consistently while keeping a human in control of consequential replies.
Made for: Marketing teams and solo operators running Instagram direct-message sales and lead qualification
What it does for you
The problem
Instagram conversations arrive faster than staff can answer, so leads go cold and follow-ups are missed.
What it gives you
Reviewed conversation outcomes linked to CRM records
What you give it
Authorized Instagram conversationsaudience segmentscomment eventsapproved reply playbooks
Build your own version of Inrō AI, Inro and more
One app with what these 3 AI tools do, yours to keep and change: Inrō AI, Inro, Ninjō AI.
Everything these tools do, in one app
- Instagram DM Automation Automates sending and managing direct messages on Instagram to engage audiences.Found in Inrō AI, Inro, Ninjō AI
- AI-Powered Agents Uses AI agents to handle conversations, detect intent, and respond automatically.Found in Inrō AI, Inro, Ninjō AI
- Personalized DM Campaigns Creates and manages targeted direct message campaigns to boost engagement and conversions.Found in Inrō AI, Inro
- Audience Segmentation Analyzes and segments Instagram followers to send targeted messages.Found in Inro
- Comment-to-DM Flows Automatically sends direct messages in response to comments on posts.Found in Inrō AI
- Branching Logic Enables conditional paths in automation flows based on user responses.Found in Inrō AI
- CRM Integration Writes contact and interaction data to a CRM during conversations.Found in Inrō AI, Ninjō AI
- Third-Party Integrations Connects with external tools like Shopify, Stripe, Calendly, and thousands more.Found in Inrō AI, Inro
- Human Handover Routes conversations to a human agent when needed.Found in Inrō AI
- Spam and Hate Detection Automatically detects and filters spam and hateful messages.Found in Inrō AI
- Opt-Out Handling Automatically manages user opt-outs from messaging.Found in Inrō AI
- Rate-Limit-Aware Triggers Adjusts automation triggers based on platform rate limits.Found in Inrō AI
- MCP Server Provides a server for building and running agents via Model Context Protocol.Found in Inrō AI, Ninjō AI
- Bring Your Own API Key Allows users to use their own API key for model calls.Found in Inrō AI
- Versioned Changes with Rollback Versions agent configurations and allows instant rollback to previous versions.Found in Ninjō AI
- Synthetic-Conversation Testing Runs simulated conversations to test agents before live deployment.Found in Ninjō AI
- Follow-Ups and Keyword Triggers Initiates follow-up messages and responds to specific keywords.Found in Ninjō AI
- Real-Time Conversation Viewing Provides a web panel to view ongoing conversations in real time.Found in Ninjō AI
- Funnel Analytics Offers analytics on sales funnels and agent performance.Found in Ninjō AI
- Prompt Templates and Playbooks Provides a repository of prompt templates, KPI rubrics, and playbooks from production deployments.Found in Ninjō AI
How it works, step by step
- Automate sending and managing Instagram direct messages
- Run AI agents that detect intent and draft replies
- Build personalized DM campaigns for defined segments
- Segment followers from permitted conversation and profile data
- Send direct messages in response to post comments
- Apply branching logic based on user responses
- Write contact and interaction data to a CRM
- Connect external tools such as Shopify, Stripe and Calendly
- Route conversations to a human agent when needed
- Detect and filter spam and hateful messages
- Manage user opt-outs automatically
- Adjust triggers to respect platform rate limits
- Expose an MCP server for building and running agents
- Allow bring-your-own API key for model calls
- Version agent configurations with instant rollback
- Run synthetic conversations to test agents before live deployment
- Send follow-ups and respond to keyword triggers
- Show ongoing conversations in a real-time panel
- Report funnel and agent performance analytics
- Provide prompt templates, KPI rubrics and playbooks
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed conversation outcomes linked to CRM records with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Instagram DM automation and lead qualification console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Instagram DM automation and lead qualification console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Answer and qualify Instagram direct messages consistently while keeping a human in control of consequential replies. For marketing teams and solo operators running Instagram direct-message sales and lead qualification, convert authorized Instagram conversations, audience segments, comment events and approved reply playbooks into reviewed conversation outcomes linked to CRM records. The benefit is a testable hypothesis, measured through qualified conversations per operator hour and opt-out rate; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect authorized Instagram conversations, audience segments, comment events and approved reply playbooks, then follow this sequence: 1. Automate sending and managing Instagram direct messages. 2. Run AI agents that detect intent and draft replies. 3. Build personalized DM campaigns for defined segments. Resolve uncertain cases with qualified reviewers, approve reviewed conversation outcomes linked to CRM records, and measure qualified conversations per operator hour and opt-out rate against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One connected Instagram account and one approved reply playbook; final replies, offers and account actions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand voice, source attribution, message accuracy and usage permissions. Account owners approve substantive replies and campaign scope. One connected Instagram account and one approved reply playbook; final replies, offers and account actions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One connected Instagram account and one approved reply playbook; final replies, offers and account actions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: automate sending and managing Instagram direct messages; run AI agents that detect intent and draft replies. Support the third module with operator review: build personalized DM campaigns for defined segments. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Instagram messaging permissions, CRM systems, Shopify, Stripe, Calendly and other authorized business tools. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Source-linked assistant and administrator console. Use a conversation inbox with a large central thread view, a left list of segments and flows, and a right-hand panel for contact context, CRM fields and approval state. Let users compare agent versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant message. Make the task-specific outcome reviewed conversation outcomes linked to CRM records visible beside its evidence, review state and value baseline.
