AI Automation Developer in Kerala

An AI automation developer connects language models to your tools so repetitive work runs on its own. Salman Faris is an AI automation developer in Kerala whose own pipeline writes, voices, renders and schedules a daily reel. He builds the same kind of workflow for businesses, with review steps where they matter.

Who this is for

For teams losing hours to repetitive tasks that follow clear rules.

Automation works best on jobs that happen often and follow a pattern: reports, follow-ups, content drafts, moving data between tools. AI adds the steps that used to need a person, such as reading a message or writing a first draft.

I run this kind of system myself. reelbot produces a finished reel from one prompt, and Buddy decides which AI model should handle each task. Those projects taught me where automation fails, and how to add checks so a mistake gets caught before it reaches a customer.

Problems this solves

  • The same manual steps every day

    Copying data between tools and writing the same updates takes hours.

  • Follow-ups depend on memory

    Enquiries wait because nobody was reminded.

  • Content falls behind

    Regular posting is the first thing dropped when work gets busy.

What I offer

Agreed in writing before work starts.

  • Workflow automation

    Connecting forms, sheets, email, WhatsApp and internal tools.

  • AI agents

    Task-focused agents with clear tools, limits and logs.

  • Content pipelines

    Script, voice, video and scheduling, with a draft mode for review.

  • Scheduled reports

    Daily or weekly summaries generated from your own data.

TOOLS AND TECHNOLOGY

ClaudeOpenRouterOllamaNode.jsGoRustlaunchdRemotion

Project examples

Real work where it exists, and clearly labelled concepts where it does not.

ExperimentsAI PIPELINE

reelbot

A pipeline that turns one prompt into a finished 30 to 45 second reel: AI script, AI voice, Remotion video and a scheduled post.

ClaudeElevenLabsRemotion
ExperimentsDESKTOP APP

Buddy

A desktop launcher that runs any AI from one place: Claude Code, Codex, OpenCode or local models, with history saved for every task.

RusteguiOllama

How it works

  1. Find the repeated work

    We write down the steps as they happen today.

  2. Decide what stays human

    Anything customer-facing or costly gets a review step.

  3. Automate one workflow

    One complete path first, so the value is real and measurable.

  4. Add logs and alerts

    You can see what ran, and you hear about failures.

What you get

  • A working automation in your tools
  • Logs of each run
  • Error alerts
  • A clear way to pause it
  • Documentation for your team

Where I work

I build from Calicut for businesses in Kerala and remote clients. Many local teams run on WhatsApp and spreadsheets, so automation starts from those tools rather than asking everyone to change how they work.

Working with clients in Kozhikode

Common questions

How can businesses use AI automation?

Common uses are drafting replies, sorting enquiries, summarising reports and producing content from a template. The best first project is a task that happens often, follows clear rules and is cheap to check.

What is an AI agent?

An AI agent is a program that uses a language model to decide its next step and act through tools, such as searching or updating a record. Good agents have tight limits and logs.

What if the automation makes a mistake?

Every workflow is designed with that in mind. Risky steps go through human review, each run is logged and you can pause the system at any time.

What is eating your team’s time?

Describe one repetitive task and how it is done today.

© 2026 Salman Faris. Designed and developed in Calicut, Kerala.STORY. MOTION. CODE.