Upgrade Lindy AI Agent for Task Management

@diektech

Hi — Elias here from Miami. I understand you’re looking to enhance your Lindy AI Agent for managing tasks via Telegram. This can significantly optimize your workflow. The real challenge is ensuring seamless integration between the Telegram API and the AI's task management. A common issue in systems like this is maintaining state management across platforms. You'll want the agent to handle messages intelligently while ensuring reliability and scalability as task volume grows. My approach would involve designing a robust architecture that prioritizes maintainability and future expansion. I would focus on clear API interactions, efficient data processing, and automated workflows to minimize manual intervention. This ensures the agent evolves as your needs change. I’ve worked on similar integrations that required complex automation and AI-driven responses, so I’m familiar with the nuances involved. A few questions to better understand the scope: Q1 – What specific tasks do you envision the agent handling through Telegram? Q2 – Are there particular user roles or permissions we need to consider? Q3 – How do you foresee the agent's performance scaling with increased task loads? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@ShaikhAneesa

Hello, I have reviewed the project requirements for upgrading the Lindy AI Agent for task management. The current issues with loop problems and communication chain errors need to be addressed to ensure smooth task processing. Let's chat and discuss it further. To handle your project, I will start with identifying the loop issues causing message repetition and implement a secure gateway for access code confirmation. I will then streamline the communication process, enabling the agent to introduce itself, list tasks, receive task requests, and assist in task completion via Telegram. The deliverables of the project include a fully functional Lindy AI Agent that processes tasks efficiently and accurately, tracks data in Google Sheets, and generates monthly reports as specified. Before signing-off my bid, I would like to ask a question, i.e., how would you prefer the monthly reports to be formatted for easy analysis? Best Regards, Aneesa.

@Hubready

Hello!, I am a Florida-based senior software engineer(frontend, backend, ecommerce, etc)... I read your Lindy AI Agent project carefully, and I understand the main goal is to make your agent process tasks smoothly through Telegram, with Google Sheets and automation working reliably behind the scenes. I have about 15 years of experience in AI automation, workflow systems, Google Sheets integrations, Telegram API, AI agents, and production-grade backend engineering. I’ve built systems where messages become structured tasks, tracked, validated, and routed with minimal friction. My approach: 1. Review the current Lindy setup and task flow 2. Map the Telegram message format and task logic 3. Connect or adjust Google Sheets and automation steps 4. Test edge cases for reliable behavior 5. Refine for stability and easy maintenance Could you please clarify the following questions to help me better understand the project? 1. What task actions should the agent support from Telegram? 2. Is Google Sheets the source of truth or mainly for logging? 3. Do you already have the Lindy workflow built, or should I modify it from scratch? I’ve built similar automation projects for internal task systems, AI chat flows, and sheet-based operations, including Telegram command handlers and workflow automations for small SaaS teams. If you want someone who reads carefully, thinks practically, and delivers something stable instead of a quick patch, I’m your guy. -James

@sagarwal3005

The current looping issue with your Lindy AI Agent is hindering task management and proper data tracking. I would address this by debugging the existing communication flow to eliminate repetitive messages and ensure a clear task-handling process, leveraging Telegram for all interactions. The agent will handle security checks, clearly introduce itself, and manage task requests as specified, while logging data in Google Sheets for report generation. My skill set includes Node.js, TypeScript, Python, and Google Apps Script, all of which are vital for building and automating your solution. I have a 4.9-star rating across 200 client reviews and have completed 220 projects. What specific data would you like the agent to track in Google Sheets for report generation?

@HamparProd

Hi, I can take the existing Lindy agent, fix the looping/repetition issue, and restructure the Telegram workflow so each conversation follows a clear state-driven task path. I’d remove the Slack integration completely, keep Telegram as the only communication channel, and implement a simple flow: access code → introduction/task menu → selected inspection workflow → validation/completion → Google Sheets record. For hazard inspections, I’ll enforce the required 4 hazards, controls, pre/post risk ratings, customer, region, location, date/time and workers involved. Truck and trailer inspections can be tied to the asset list and stored in structured sheet tabs for reporting. I’ll also build the monthly reporting logic for inspection counts by employee/type, FLHA counts and average risk ratings before/after controls, top 5 common risks, and employee interaction volume. The main focus will be preventing duplicate triggers, preserving conversation context correctly, and making incomplete tasks resume cleanly instead of restarting or looping.

@SkillCrafts

I noticed your Lindy AI agent is experiencing looping issues and communication chain failures when processing Telegram tasks. I've previously resolved similar recursive loop problems in conversational AI systems by implementing state-tracking mechanisms and robust error handling, ensuring a clear progression through conversational flows. My approach will involve refactoring the agent's core logic to manage task states explicitly. I'll utilize a combination of Python, specifically libraries like `python-telegram-bot` for Telegram integration and potentially a lightweight state machine library, to build a deterministic workflow. This will involve: defining distinct states for each interaction step (e.g., awaiting access code, presenting tasks, receiving request), implementing validation for access codes, and structuring the hazard inspection data capture with clear prompts for customer, region, location, time, date, and worker details. To ensure we align perfectly on requirements, could you clarify the expected format for the hazard inspection data once captured? Also, are there any specific security protocols beyond an access code that the gateway needs to enforce? I'm available for a brief call to discuss these details and how I can efficiently resolve your agent's issues.

@sf264

Hello, I understand the issues that you are currently facing with your Lindy AI Agent and can help you in modifying it. Let's discuss more details via platform messaging. I am looking forward to getting your Lindy AI Agent back on track, Fahad.

@ranjika08

An AI task agent becomes frustrating when it can create tasks but not prioritize, route, or follow the right conditions consistently. The first thing I’d focus on here is where the current Lindy setup is breaking down—whether that’s prompt logic, workflow branching, missed actions, or poor task organization—and then improve it in a structured way. A lot of these upgrades are less about “adding AI” and more about making the automation dependable in real use. I’ve handled workflow and AI-automation refinements where testing, cleanup, and practical logic changes made the difference between a demo setup and something a team can actually rely on. What is the current Lindy agent doing today, and what exact part do you want upgraded first? Also, is there an existing workflow document or should I inspect the live setup and map the improvements from there?

@denisSolution

Hi, I'm Denis, a developer who has worked on similar automation projects involving AI agents and task workflows. It sounds like the agent is getting stuck in loops due to unclear state management between steps, especially when handling multi-part tasks like inspections. The core issue is likely around context persistence and proper state transitions when processing Telegram messages. I’d first stabilize the message flow by adding clear state tracking for each interaction, then remove the Slack integration and refocus the agent entirely on Telegram. Data recording in Google Sheets makes sense—we can use the Sheets API to append structured records for each inspection, ensuring all required fields are captured consistently. For the reports, I’d set up a lightweight process that aggregates the sheet data monthly, calculates the metrics you mentioned, and formats them into a simple report. The main risks here are Telegram API rate limits and potential data inconsistencies if the agent misses steps—both can be handled with retries, clear error logging, and validation checks before writing to Sheets. I can start working right away. Let's connect and discuss the details. Thanks, Denis.

@ffulb

The loop issue usually means the agent is seeing its own outputs as new inputs or there's no proper state management between conversation turns. I'd fix that by rewriting the conversation flow with explicit state tracking in Google Sheets (current step, last message timestamp, user context) so the agent knows where it is and doesn't retrigger completed steps. I'd strip out the Slack hooks, wire Telegram API directly with a simple access code gate at the start, then build the three inspection workflows as structured prompts that write rows into Sheets as they go. The monthly reports would pull from those same sheets with formulas or a light Apps Script layer if aggregation gets messy. I built an AI travel planner that handled multi-turn conversations without loops and a Google Sheets tax calculator with custom logic, both at ffulb.com. If you can share your Lindy account or export the current agent config I can take a look at what's causing the repeat behaviour and map out the cleanest fix.

@Erlend2k

Hi, I build dependable Lindy AI agents, and I can turn your Telegram task flow into a controlled inspection assistant that stops duplicate replies. The deliverable will be a repaired Lindy conversation flow that verifies an access code, introduces itself, presents available tasks, and keeps each request in the correct communication state. For hazard inspections, it will collect four hazards, controls, pre and post-control risk ratings, customer, region, location, date, time, and workers involved. My relevant skills are Lindy AI agent configuration, chatbot conversation design, API integrations, and Python-based debugging for logic and state issues. I will review the existing flow, identify loop triggers, add clear session rules and validation, then test realistic Telegram conversations. I can complete the audit and repair in 3 to 5 business days, followed by a test round and handover notes. Where should completed inspection records be stored or sent? Hope to hear from you, Erlend.

@jaroslavcaprata

The main issue here is conversation-state control. I would first fix the looping behavior by separating the Telegram workflow into explicit stages: access-code validation, introduction/task selection, task execution, confirmation, and completion. Each incoming message should advance or update state rather than re-triggering the entire agent chain. I would remove Slack-related actions entirely and keep Telegram as the single communication channel. For inspections, I’d structure the agent to collect required fields one by one, validate missing information, confirm the completed record, and then write normalized data into Google Sheets. The hazard workflow would capture all four hazards, controls, pre/post risk ratings, customer, region, location, date/time, and workers involved. Truck and trailer inspections would reference the correct asset list before completion. For monthly reporting, I’d build summaries from the Sheet data for inspection counts by employee/type, FLHA risk averages, top recurring hazards, and agent usage by employee. I’d also add safeguards for duplicate messages, retries, interrupted conversations, and resumed sessions. Does your current Lindy setup already store conversation/session state anywhere, or is the agent relying mainly on prompt history?

@carlosd178

Hello, I have carefully reviewed your project and understand that you need to modify an existing Lindy AI Agent workflow, fix Telegram conversation loops, remove Slack integration, and create a reliable inspection automation system. I have experience with AI agents, chatbot workflows, API integrations, automation systems, Telegram bots, and Google Sheets-based data pipelines. I can audit the current agent logic, identify why the communication chain is looping, and rebuild the workflow with proper state handling and task progression. My approach will include: • Secure Telegram gateway with access code verification • Clear conversation states: authentication → task selection → inspection completion • Hazard, truck, and trailer inspection workflows with structured data capture • Google Sheets integration for records and reporting • Automated monthly reports with inspection metrics, risk analysis, and user activity insights A few questions: • Is the current Lindy Agent workflow built using Lindy native automation only, or are external APIs/webhooks involved? • Do you already have the existing Google Sheet structure for inspections and reports? I can help stabilize the agent, prevent repeated messages, and create a maintainable AI workflow that your team can reliably use through Telegram. Best regards, Carlos

@bojans9

Hi, I can upgrade your existing Lindy AI Agent and fix the communication loops so it reliably handles the complete Telegram workflow. I’ll deliver: Secure Telegram access-code gateway Reliable task conversation flow without loops FLHA/hazard, truck, and trailer inspections Google Sheets data tracking Remove all Slack integration Monthly inspection, risk, and employee activity reports Testing and optimization of the complete workflow I’ll work with your existing Lindy setup and preserve what is already working while improving reliability. Please share the current Lindy workflow/agent configuration so I can review it and confirm the exact timeline. Best regards

@miguelcen64

Hello, The key part of this project is **fixing the Lindy agent’s communication loop so it can reliably guide users through Telegram, capture inspection data, and stop repeating itself**. I can help you handle this accurately and efficiently without overcomplicating the process. I have hands-on experience with **AI Agents, AI Automation, AI Integration**, including rebuilding task flows where message chains and state handling had to stay deterministic. For your project, I would focus on **removing Slack integration**, **stabilizing the Telegram security and task flow**, and **structuring Google Sheets logging for the monthly reports**, while making sure the final result is **clean, traceable, and easy to maintain**. I can start immediately and expect to complete this within 2 weeks. One detail I'd like to confirm before starting: **should the access code gate every new Telegram session, or only the first contact per employee**? Best regards, Miguel

@ssquare489

The first fix I’d make is to turn the Telegram workflow into a strict state-based conversation so the Lindy agent cannot re-enter completed steps, repeat messages, or lose the communication chain. I’d also remove Slack entirely and keep Telegram as the only user-facing channel. I’d structure the agent around three controlled stages: access-code validation, task selection, then guided completion. Each inspection would maintain its own session state, validate required fields before advancing, and prevent duplicate processing of the same Telegram update. My two priorities would be integrations and maintainability. Telegram, Lindy, Google Sheets, asset lists, and reporting logic should have clear boundaries so inspection data is captured once and can reliably feed monthly reports without manual cleanup. For FLHAs, I’d store customer, region, location, workers, date/time, four hazards, controls, pre-control rating, and post-control rating as structured records. Truck and trailer inspections would reference the correct asset before proceeding. Monthly summaries can then calculate inspections by employee/type, FLHA averages, top five risks, and employee interaction volume. A relevant project is Kingmovers, where I implemented webhook-driven workflows, CRM synchronization, notifications, analytics, multiple user roles, and automation across several external systems.

@binayatri

Hi, I can fix the agent by simplifying the communication flow and removing the loop condition rather than adding more complexity. I’d structure it around the security code, introduction/task menu, task intake, validation, completion and confirmation states, with Telegram as the only communication channel. I’d also connect the inspection data to Google Sheets in a consistent structure so the monthly reports can be generated reliably. I have hands-on experience with AI agents, LLM workflows, Telegram integrations, automation, Google Sheets and structured data pipelines. I can also build the reporting logic for inspection counts, FLHAs, risk changes, common hazards and employee activity. I’d first reproduce the loop, audit the current workflow, then fix and test each task end-to-end. Let's connect and get started soon. Best regards, Binaya T.

@mayr81

Having successfully delivered diverse projects that involved settings similar to your current situation, I am confident in my ability to effectively modify your Lindy AI Agent. My proficiency lies in AI Automation and AI Chatbot Development which includes refining existing systems to remove issues- such as the loop problem you're currently experiencing. The goal is to make your agent perform tasks seamlessly via telegram communication while ensuring proper access code usage for enhanced security. Additionally, I have extensive skills in data management and automation with Google Sheets, which is fitting with your request for storing information and creating monthly reports. I can create a tracking system within Google Sheets that will provide you valuable insights, such as details about inspections, employee performance, and risk ratings among others. Through clear and comprehensive monthly reports, you can make informed decisions and better optimize your operations. Lastly, I want you to know that I am committed to building long-term relationships with clients. So if chosen for this project, not only will I eliminate the issues your AI Agent is facing and provide data tracking solutions but also ensure long-term support for improved operations post-project implementation. Let's collaborate, overcome this current hurdle together, and set up a robust task management system with your Lindy AI Agent.

@obademio1

Your goal is to restore and improve your Lindy AI Agent so it reliably handles Telegram-based workflows, completes safety tasks, and captures inspection data for reporting. I can help troubleshoot the current looping behavior, remove unnecessary Slack integration, and rebuild the communication flow around your required process. The biggest technical challenge will be fixing the agent’s conversation state management so it can authenticate users, guide inspections, collect structured information, and avoid repeating messages. I would first analyze the existing agent configuration, integrations, prompts, and data flow, then implement the solution within your current stack using Telegram, Google Sheets, and reporting automation. After updates, I would test the complete user journey, validate each inspection workflow, verify data capture, and ensure reports generate correctly. The solution can involve Lindy AI, Telegram API, Google Sheets, and automated reporting workflows. A few questions: - Is the current Lindy agent built with custom workflows or prompt-based logic? - How is user authentication currently storing access codes? - Do you already have the Google Sheet structure for inspection records and reports? I’d be happy to review the current setup and get the agent operating correctly again.