Development of an AI assistant for automatic responses in Signal
223 USD Create a program/service that integrates with the Signal messenger and uses artificial intelligence (LLM) for automatic, context-aware, and thoughtful responses to incoming messages.
- Automation: The program should intercept incoming messages in Signal and send a generated AI response.
- Context Analysis: The AI should analyze not only the last message but also the chat history with a specific contact to maintain a natural dialogue.
- Personalization: Ability to customize tone of voice (communication style: formal, friendly, concise, etc.) and upload contextual data (professional instructions, work schedule, answers to frequently asked questions).
- Control and Security: Flexible activation triggers. The bot should operate only for certain chats (whitelist) or on a schedule. Manual intervention should be possible.
- Integration with Signal: Since Signal does not have an official open API for chatbots, it is necessary to use the official client API via Signal CLI or Python-based wrappers (e.g.,
signal-cli-rest-api). - AI Module: Connection to the APIs of leading language models (OpenAI GPT-4, Anthropic Claude, or local models via Ollama for maximum privacy).
- Database: Use SQLite or PostgreSQL to store chat history and user settings.
- Programming Language: Python (recommended due to the large number of libraries for working with AI).
- Since Signal positions itself as the most secure messenger, the program must not violate end-to-end encryption. It should operate exclusively on the user's device (or on its own secure server).
- User data must not be shared with third parties, except for the chosen AI API.
- Stage 1 (Basic): Set up the connection of
Signal CLIwith the phone number. Implement the "Echo" function (sending the same text in response). - Stage 2 (AI Integration): Connect the language model API. Write a system prompt that explains the AI its role and rules of behavior.
- Stage 3 (Memory): Add the ability to save message history (the last 5-10 messages in the chat) for context in requests to the AI.
- Stage 4 (Interface and Settings): Create a user-friendly interface (web panel for administration) where the bot can be turned on/off and the prompt can be edited.
A working script or application that the user runs on their server/PC. The bot should autonomously read messages in Signal, recognize the language, generate a logical response via AI, and send it to the interlocutor without raising suspicion that it is being done by a machine.
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7 days223 USD
7 days223 USD
Hello, I worked on developing an AI assistant for Telegram with OpenAI GPT-4 integration, which processed 15,000 messages a day with automatic contextual analysis and response personalization ✅
I’m curious how you plan to implement quality control for the AI responses and prevent incorrect reactions in critical Signal dialogues?
I suggest we get in touch; I will provide you with free technical consultation and we can outline a development plan + I will tell you about my team!
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14 days267 USD
556 1 0 14 days267 USD
Good day, I see that you are looking for a developer to create an AI assistant for automatic responses in Signal. This is a very interesting project that requires integration with the Signal messenger and the use of artificial intelligence to generate responses. What I will do:
— develop integration with Signal via Signal CLI or Python-based wrappers,
— connect to the APIs of leading language models,
— create a database to store chat history and user settings,
— develop an interface for configuring and managing the bot.
Bonus/additional value: provided the possibility of manual intervention and customization of communication styles.
… Timeline: 14 days after receiving the materials.
Cost: 12000 UAH.
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4 days223 USD
2163 14 0 1 4 days223 USD
Good day. I am an individual developer offering my services for designing and implementing an AI bot for Signal. I have practical experience in developing asynchronous services in Python, working with signal-cli, and building long-term memory systems for LLM. I work officially through FOP without intermediaries. I will independently set up the connection with the number via QR code, implement the logic of randomized response delays to simulate human behavior, and integrate flexible system prompt configuration. My approach to code and architecture optimization is presented in my portfolio at 3magency.co and https://vilors.studio/.
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10 days223 USD
285 10 days223 USD
Hello. Our small team has over 4 years of experience in developing full-stack services, Telegram/Signal solutions, and intelligent AI systems. We are ready to implement your project step by step, strictly according to the specified User Stories. For Stage 4 (administration web panel), we will create a lightweight and fast interface using FastAPI + Tailwind, where you will be able to edit AI instructions in real-time, manage contact whitelists, and see the bot's operational status. All modules will be packaged in Docker-compose for easy deployment on your PC or VPS. You can familiarize yourself with our technical expertise at the following links: freshagro.com.ua, farfieworldwide.com, rivnekolo.com.
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7 days223 USD
184 7 days223 USD
Good day. My colleague and I specialize in the development of AI agents, natural language processing (NLP), and the integration of private language models. Within the framework of your specifications, we propose to place a special emphasis on security (point 4): the system can be completely isolated by connecting a local model via Ollama, so that message texts do not leave your server. We will move the logic of the chat whitelist and work schedule into a separate configuration module. Examples of our approach to creating stable automation solutions and interfaces are presented in the projects drkukharevich.rivne.ua, crave-agency.com.ua, and jk-solution.com.ua.
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4 days223 USD
1175 13 0 3 4 days223 USD
To implement your AI responder for Signal, my partner (Python backend architect and system administrator) and I propose to build an asynchronous architecture based on signal-cli-rest-api and the Ollama / OpenAI API modules. We will deploy an isolated Docker environment where the script will listen for incoming events from the Signal client via WebSockets. We will implement dialogue context storage in SQLite, passing the history of the last messages (sliding window) along with your system prompt (Tone of Voice) to the LLM. Our experience in automating messengers and integrating artificial intelligence is reflected in the projects hyperfi.tech, espressolab.com.ua, and hudi.com.ua.
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10 days223 USD
4611 52 1 10 days223 USD
Good day, I am a Python developer with extensive experience in developing Telegram, Instagram, and other bots of various complexities. I can complete your order quickly and efficiently. Write to discuss the details; I am ready to start today. I will also upload your bot to the server for stable operation 24/7 and will provide technical support for the bot for another month. This is included in the cost.
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3 days223 USD
726 9 1 3 days223 USD
Hello! I have reviewed your project and am ready to start working. I am confident that I can meet all your expectations.
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10 days223 USD
1754 34 3 10 days223 USD
Good day, I have experience working with Signal, I developed a similar project, write to discuss.
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7 days401 USD
8773 60 0 1 7 days401 USD
Hello. Very interesting and generally typical project, I have experience with signal integration. I have ready templates and drafts, we can set up a test product for verification in two days, then 5 days for testing and adjustments.
I would be happy to collaborate.
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27 days601 USD
1825 52 0 27 days601 USD
Good day. I can implement it as a desktop application for Windows - it will have a convenient web design or simply through PyQt. I have experience in integrating ChatGPT.
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3 days223 USD
1036 4 0 3 days223 USD
Good day, Alex, recently I have been regularly developing bots with artificial intelligence integration, including the latest project. I have experience, so let me describe the implementation step by step:
1. Signal — I have already developed a bot through signal-cli, so I understand the context of the task. However, the task was without LLM; it was a message aggregator with analytics.
2. For AI, pydanticAI is a great fit for this task as a development tool/module. For analysis, there will likely be two or more agents. Or one, if the context size is not that large (consideration of photos, videos, audio, etc. is still a question; if necessary, the task may need to be slightly expanded, for example, Wisper or multimodal LLM).
3. Behavioral rules through system prompts work, but are not always effective for style. Adding personality skills works well. And adjusting generation parameters (temperature, etc.)
4. It is also necessary to add skills and additional processing for humanizing the bot.
5. The interface can be made simple by combining fastapi + react (I did it this way in the last project).
The task is clear; it is not complicated. I have experience with both the messenger and AI automation. I would be happy to work with you!
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14 days601 USD
685 2 0 14 days601 USD
Good day. I have reviewed the specifications. The project includes the integration of Signal CLI, connecting an AI model, implementing contextual memory, databases, system prompts, triggers, as well as a web control panel. I am ready to implement the MVP and further expand the functionality in stages.
Preliminary estimate: 70,000 UAH. I will be able to clarify the exact cost and timelines after discussing the details and architecture.
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1 day223 USD
1522 14 0 1 day223 USD
Hello! I can implement it. Please message me privately to discuss all the details. I would be happy to collaborate!
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14 days267 USD
620 2 0 14 days267 USD
Hello!
I have read the specifications completely. We can technically implement all four stages.
Stack: signal-cli-rest-api (in Docker) + Python service + connection to OpenAI/Claude API + SQLite for history. Web administration panel — to enable/disable, whitelist chats, edit system prompt.
An important nuance: Signal does not have an official bot API like Telegram, so the service must run continuously on a VPS. If you have a VPS — great, if not — we can find and set one up (starting from ~$5/month Hetzner or Ukraine).
Deadline: 2-3 weeks. Cost: 12,000 UAH.
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8 days223 USD
1872 9 0 8 days223 USD
This is a specialized task for us. We have been working with AI agents in production for over a year: Winbix.AI (multi-tenant platform on FastAPI with context memory and tone-of-voice settings, $2K MRR, 30+ clients), BrandSync AI (GPT-4 + BullMQ pipeline for asynchronous message processing), BotFusion AI (chatbots on 19+ platforms with personalized prompts).
Regarding the stages of your specifications:
- Signal via signal-cli-rest-api in Docker
- LLM layer with abstraction over OpenAI/Anthropic/Ollama (config-driven)
- Sliding window of the last N messages + RAG through pgvector for long history
- Admin panel on FastAPI + Next.js with shadcn/ui for whitelist, schedule, prompt templates
- Everything locally on your server with the option of Ollama for full offline
…
From experience, we will add auto-pause in ambiguous contexts, as this saves from incorrect responses in real dialogues.
Portfolio: winbixai.com/en/startups. We will send a Loom with the AI-pipeline architecture in private.
Questions:
- Local-only (Ollama) or cloud LLM (OpenAI/Anthropic)? This affects token costs and latency.
- One user or multi-tenant for the team?
We would be happy to discuss in more detail:
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5 days223 USD
9927 117 0 5 days223 USD
Hello.
I develop bots in NodeJS. I am ready to take on the task. Write to me, and we will discuss.
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10 days223 USD
764 5 1 10 days223 USD
Hello!
My stack is Python, OpenAI API, working with LLM and context preservation. I understand the integration with Signal through signal-cli-rest-api and have experience building similar assistants.
I will implement all 4 stages sequentially with intermediate demos.
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28 days601 USD
28 days601 USD
The budget of 10,000 UAH for such an assistant feels too small even for a stable first version. Realistically, I would allocate from 120,000 UAH and 4 weeks for a working version with Signal CLI, AI responses, dialogue memory, a whitelist of chats, and a basic web panel =)
According to the specifications, I see an important nuance - it is not advisable to create autopilot without safeguards. For Signal, it is better to build a local service on your server or PC, where there is a message queue, action log, activation rules, chat restrictions, and a manual confirmation mode for risky responses.
> First, we do technical design and prototype Signal CLI - echo, receiving and sending messages.
> Next, we connect the language model, prompt, memory of recent messages, and personal instructions.
> Then we add a web panel, style settings, schedule, whitelist, and response log.
> Separately, we check security - where the keys are stored, who has access, what data goes to OpenAI or the local model via Ollama.
… A few close examples of our experience:
> https://business.ingello.com/vorfahr - AI automation with business logic and request processing.
> https://business.ingello.com/fractal - agent scenarios and complex process automation.
> https://systems-fl.ingello.com/ua - specialized landing page for Ingello Systems for FLH.
I would like to clarify 2 things, without which the estimate may drift, just like I did after the third table with integrations:
> Signal should work with one number or with several accounts.
> Is a full auto-sending mode for responses needed, or is it safer to first confirm before sending?
!!I would recommend starting with a short design phase and technical prototype!! - this will clarify whether Signal CLI works stably in your environment, and only after that scale up to a full assistant.
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10 days223 USD
2226 46 0 10 days223 USD
Good afternoon. With the mass implementation of LLMs, the technical specifications have certainly become more extensive, but sometimes they are more focused on technical specifics rather than project specifics. Essentially, you have outlined in broad terms what to do in a technical sense but not in a practical sense.
I am interested in the following:
1. What should the assistant actually respond to? Are these complex questions or are they regular questions like work schedules or how to find you? Essentially, understanding the question/answer is crucial for building the logic of the work. The other aspects are mostly technical and can be resolved with time/libraries.
2. Do you understand the cost of tokens? It’s one thing to write such a bot, and another that tokens are also paid, and the cost can be quite significant.
3. Do you have QUALITY sources of information for answers, and in what format (text, video, photo, etc.)?
… Please write to me in private messages, and we can discuss in more detail. I will provide a more detailed response after understanding the exact task.
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20 days601 USD
96691 1276 1 10 20 days601 USD
Hello. I have extensive experience with Python and in creating AI agents. I am ready to implement the project.
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14 days601 USD
196 14 days601 USD
I already have a practically ready similar solution with an AI assistant, dialogue memory, and response rules; it can be quickly adapted for Signal and launch the first working prototype =)
Regarding timelines - a basic MVP with Signal CLI, echo mode, connection to a language model, history of 5-10 messages, a whitelist of chats, and a simple web panel I estimate will take about 10-14 days.
As for the budget - 10,000 UAH seems enough only for a short technical check of Signal CLI and the echo prototype, because there is integration, security, a database, prompts, triggers, and an admin panel involved.
We would proceed step by step - first, we check the stability of Signal CLI on your server or PC, then we add AI response, conversation memory, style settings, and protection against accidental responses to the wrong people.
Look, there’s a nuance - for privacy, we can create 2 modes.
… > OpenAI or Claude - faster and higher quality
> local model via Ollama - more control over data, but weaker quality and requires hardware
Let me clarify 2 points to avoid guessing like a student in an exam.
> Should the bot respond fully automatically or first show a draft for manual confirmation?
> Is the launch planned on a Linux server, home PC, or VPS?
Relevant examples of our experience.
> https://business.ingello.com/vorfahr - AI automation and agent logic for business processes
> https://business.ingello.com/fractal - complex agent scenarios, memory, and action management
> https://systems-fl.ingello.com/ua - briefly about our approach to systems, AI, and automation
We can start with the first stage - Signal CLI plus echo bot and technical check, and after that, we can develop a full-fledged assistant without unnecessary complications.
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