Chatbots and assistants
Telegram bots and custom GPTs that answer people and get tasks done. I come from customer support: I know which cases a bot can close and which need a person.
Telegram · Custom GPTs · LLM
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Kristian Macias Goncalves
Admin automation · Chatbots · AI-assisted development
I automate repetitive, administrative workflows, from idea to production.
How I build AI-assisted development, with whichever tools fit each project best: I define the problem, review the result and take it to production.
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My solutions
Admin automation
Repetitive tasks that stop being done by hand: an event triggers the workflow and the system does the rest, with AI when text needs to be understood or written.
n8n · Webhooks · LLM
API integration
Connecting tools, even when there's no documentation: session-based auth, CSRF tokens, pagination, file uploads and retries that don't overload the server.
REST · Sessions · CSRF
Applied AI
Generative models inside real processes: prompts that return structured JSON for another system to use. Text, image editing and voice.
Gemini · Claude · ChatGPT · ElevenLabs
Data across systems
Per-project integrations that combine data from several sources, including full CRMs, so it all lives in one place and can be worked with.
APIs · CRM · Data analysis
End-to-end product
Backend, database, mobile app and deployment, all the way to production with real users.
Node.js · Supabase · Flutter
What I've built
SaaS product
Wardex
Multi-account SaaS built on Vinted's internal API: it orchestrates parallel sessions and automates the item listing cycle.
In production with real users · private beta
- Integration
- Custom HTTP client against an API with no public documentation: session-based auth, CSRF tokens, pagination, image uploads and retries with backoff so the server isn't overloaded.
- LLM
- Gemini writes titles and descriptions and edits images; the output is structured JSON that the backend consumes directly.
- Backend
- REST API in Node.js and Express on Supabase (PostgreSQL); mobile client in Flutter.
- Security
- AES-256-GCM encryption, JWT authentication, rate limiting and audited Row Level Security policies.
- Deployment
- CI/CD with GitHub Actions, deployed on Railway and Vercel.
Data analysis
Data and measurement
Pipelines that extract, normalize and cross-reference data from several sources, including CRMs, to measure results with comparable metrics.
- Ingestion
- Automations that capture each system's measurements and consolidate them for analysis.
- Metrics
- Aggregation by period: actual cost versus consumption cost, idle capacity and unit cost per user and per account.
- Output
- Dashboards with monthly series to compare periods and spot deviations.
Communities and sales
Telegram bots
Bots on the Telegram Bot API that process group events to manage communities, run engagement activities and generate sales leads.
- Events
- Handlers for reactions, replies and photo or video messages that award points to each member.
- State
- Per-user balance, group leaderboard and prize redemption, available through commands; private storage of photos and videos.
- Conversion
- Catalog browsable by category with buttons, purchase links and a language selector to capture leads.
AI chatbot
This chatbot
Conversational agent with tool calling, deployed on serverless functions: it answers from the content of this page and records contact requests. Try it here.
- Architecture
- Serverless Node.js functions on Vercel; a single model call per message to keep latency and cost down.
- LLM
- Claude Haiku via API, behind a common interface that lets you switch providers (to Gemini, for example) with an environment variable.
- Grounding
- System prompt restricted to the published content; user messages are treated as data, not as instructions.
- Tool calling
- A tool with a strict JSON schema that, after explicit confirmation, validates name, email and message and sends them by transactional email.
- Anti-abuse
- Per-IP and global rate limiting, temporary bans for repeat offenders, a heuristic spam filter ahead of the model and HMAC signatures on responses.
AI: it can make mistakes. Processed with Claude (Anthropic), and Kristian gets a copy of the conversation. Don't share sensitive data.
What I work with
- Backend
- Node.js · Express · REST API
- Data
- Supabase · PostgreSQL
- Mobile
- Flutter
- AI
- Gemini · Claude · ChatGPT · ElevenLabs · prompt engineering · coding assistants
- Automation
- n8n · Webhooks · Telegram bots · Custom GPTs
- DevOps
- Git · GitHub Actions · Railway · Vercel
Let's talk_
I'm looking for projects and roles in AI automation, API integration, implementation or technical support, remote or in Madrid.
tech@or leave me a message