AI Agents for growing teams.
Custom agents that can answer, triage, draft, retrieve, and act inside real business workflows.
What we build
Custom AI agent development
- Retrieval agents
- Support triage
- Internal copilots
Problem
What this improves.
Off-the-shelf AI tools often sound clever in demos but need careful setup before they can work with your context, permissions, data, and real business process. Without that setup, teams end up with a chatbot that guesses, answers nobody trusts, and a tool that quietly falls out of use within a month.
Solution
Wacky Works designs focused agents around one useful job, with the right knowledge sources, guardrails, prompts, handoffs, and interface around them. The agent earns trust by doing one job well, with a person approving anything that matters, before it is given a second job.
What Wacky Works builds.
Builds
- Retrieval and knowledge agents
- Support triage agents
- Internal copilots
- Drafting and workflow assistants
For
- Teams with repeated questions or document-heavy work
- Operators who need AI assistance inside a defined process
- Businesses testing practical agents before larger automation
Use cases
- Answering questions from internal documentation
- Triage for enquiries, briefs, support, or admin requests
- Drafting first-pass responses or summaries for human review
Built like a working system, not a brochure promise.
Step 1
Choose one concrete job for the agent before touching prompts.
Step 2
Define the data sources, permissions, escalation points, and failure cases.
Step 3
Test against real examples, not only ideal demo prompts.
Step 4
Hand over with plain documentation: what the agent knows, what it refuses to do, and how to adjust it.
Where this work tends to show up.
FAQ
Short answers before the brief.
Do AI agents replace people?
The useful ones usually remove repeated lookup, drafting, triage, or handoff work so people can make better decisions faster.
Can an agent connect to existing tools?
Yes, where the tools expose safe APIs, data exports, webhooks, or documented integration paths.
What does an AI agent build cost?
Agent builds start from $3,000 on the public Pricing page, with Pilot Builds from $500 to prove the job first. Prices are in USD and the final quote follows the scoping conversation.
How do you stop an agent making things up?
By restricting it to defined knowledge sources, testing against real examples, and keeping human checkpoints on anything that leaves the building. Where the agent is not confident, it is built to say so and hand over to a person.
Send the current version. The useful system comes after.
Share the current tools, goals, timeline, and the outcome that would make the work feel smoother.