
Build you an AI agent that actions automation & integrations
Delivery in
1 day
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What you get with this Offer
Most "AI agent" offers you'll see are just a chatbot wrapper around an LLM. This isn't that. I build agents that actually do things — read data, make decisions based on rules or context, call your APIs, write to your CRM, send emails, log actions, and retry when something fails.
How it works:
Discovery — You tell me what the agent needs to do, which tools it touches, and what "done" looks like for each task. I'll ask clarifying questions if the scope is loose.
Build — I design the decision logic (branching, fallbacks, edge cases) before writing a single integration, so the agent doesn't break the first time it hits an input you didn't anticipate.
Connect — I wire it into your actual stack: CRM (HubSpot, Pipedrive, Salesforce, etc.), email (Gmail/Outlook), Sheets/Airtable, SharePoint, calendars, or custom APIs/databases.
Test — Real inputs, not happy-path demos. I check failure cases: bad data, API timeouts, missing fields.
Handover — You get a documented system: what it does, how to adjust it, how to monitor it, and a short usage guide so you're not dependent on me to make small changes later.
What's typically included:
Multi-step logic with branching and fallback paths (so the agent doesn't silently fail)
2–3 integrations with your existing tools
A simple activity log or dashboard so you can see what the agent actually did
Error handling and automatic retries on failed steps
Documentation covering setup, logic flow, and how to extend it
A short post-delivery support window for fixes
Common use cases I build for: lead qualification and routing, automated follow-up sequences, support ticket triage, internal ops assistants, data entry/logging automation, and report generation from live data sources.
Tech I work in: n8n, Make, Zapier, Microsoft Power Automate, OpenAI/Claude APIs, custom Python/Node backends, and direct API integrations when a no-code platform can't do what's needed
How it works:
Discovery — You tell me what the agent needs to do, which tools it touches, and what "done" looks like for each task. I'll ask clarifying questions if the scope is loose.
Build — I design the decision logic (branching, fallbacks, edge cases) before writing a single integration, so the agent doesn't break the first time it hits an input you didn't anticipate.
Connect — I wire it into your actual stack: CRM (HubSpot, Pipedrive, Salesforce, etc.), email (Gmail/Outlook), Sheets/Airtable, SharePoint, calendars, or custom APIs/databases.
Test — Real inputs, not happy-path demos. I check failure cases: bad data, API timeouts, missing fields.
Handover — You get a documented system: what it does, how to adjust it, how to monitor it, and a short usage guide so you're not dependent on me to make small changes later.
What's typically included:
Multi-step logic with branching and fallback paths (so the agent doesn't silently fail)
2–3 integrations with your existing tools
A simple activity log or dashboard so you can see what the agent actually did
Error handling and automatic retries on failed steps
Documentation covering setup, logic flow, and how to extend it
A short post-delivery support window for fixes
Common use cases I build for: lead qualification and routing, automated follow-up sequences, support ticket triage, internal ops assistants, data entry/logging automation, and report generation from live data sources.
Tech I work in: n8n, Make, Zapier, Microsoft Power Automate, OpenAI/Claude APIs, custom Python/Node backends, and direct API integrations when a no-code platform can't do what's needed
What the Freelancer needs to start the work
What the agent should do: tasks, decisions, triggers, actions
Which tools/APIs it needs to connect to (CRM, email, calendar, databases, etc.)
Data sources it will read from (spreadsheets, DB, logs)
Sample inputs/outputs if you have them
Preferred stack, or whether open-source/existing platforms are fine
How the user interacts with it: text, voice, UI
Any performance or fallback requirements
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