✳ CUSTOM AI AGENTS

A specific task.
A purpose-built agent.

An AI assistant built around your business instructions, approved information, and defined permissions. Not a bot with a vague job description.

A clear starting point.
A result you can inspect.

Describe the trigger, the information used, the steps, and the output. Then decide what can happen automatically and where a person must review the result.

Read the workflow guide
Conceptual gold circuit paths connecting a blue-lit core on black
CONCEPTUAL SERVICE STUDY / NOT CLIENT WORK
01 / POSSIBLE PROJECT

Research assistant

Collect information from approved sources, keep the source links, and prepare a brief you can review.

02 / POSSIBLE PROJECT

Content assistant

Work from your voice, offers, and reference material to prepare drafts—not publish unchecked content.

03 / POSSIBLE PROJECT

Internal knowledge assistant

Help your team find answers in approved business documents, with clear access boundaries.

These are project examples, not claims about completed client work. Your requirements determine the final scope.

Useful work.
Defined permissions.

The scope covers what the agent can see, what it can do, what it must not do, and when it needs a person. Model and hosting costs, monitoring, and future changes are discussed before the build.

Talk about your project
1

Define the job

2

Choose its sources

3

Set the permissions

4

Test & hand over

  • Business-specific agents
  • Approved knowledge sources
  • Human review & permissions
  • Testing & documentation

Before we build.

How is an agent different from a chat window?

An agent can be configured with a specific task, instructions, approved knowledge, and selected tools. What it can actually do depends on the agreed build and permissions—not on the label.

Can it answer customer questions?

That can be scoped, but it needs approved information, appropriate privacy controls, and a clear path to a person. A draft-response assistant may be a better first step than unattended replies.

Can you guarantee every answer is right?

No. AI can make mistakes. We define source checks, test cases, review points, and ways to handle uncertainty rather than promising perfect answers.

See the steps.
Keep the decision.

A purpose-built agent can prepare a response from approved information. The example below stops for a person before anything is used.

Local demonstration only. No model is called, no message is sent, and no customer record is created.

SAMPLE / NOT LIVE
FICTIONAL INQUIRY

“I'd like to discuss a new website for my shop. What do you need from me?”

  1. 1Read the sample question
  2. 2Prepare a draft
  3. 3You review it
  4. 4Mark the draft ready
Ready to try. Start with the fictional inquiry.

A better brief.
A better starting point.

You don't need a specification. These five details make it easier to discuss scope, costs, and next steps.

0 of 5 details ready

This checklist stays in this page session. Nothing is submitted or stored.

Bring your project to IPF

Let's make
something good.

A website, a video, a better way to work.
Tell us what you have in mind.

Talk to IPF FREE 20-MINUTE CONSULTATION. NO SALES THEATER.