BUILD AI THAT DOES
A REAL JOB FOR YOUR TEAM.
I build custom AI agents for specific tasks in your business — not generic chatbots. Each agent is designed around one job, with access to your data, your rules, and safety checks that prevent mistakes.
Think of it as hiring a reliable specialist that works 24/7 on one specific task.
Purpose-Built
Each agent is designed around one job or a tightly related set of jobs — not a general-purpose chatbot.
Knows Your Business
The difference between a toy and a useful agent is knowledge about your specific industry and business.
Safety Checks
Built-in validation, error handling, and escalation to a human where mistakes are expensive.
A GOOD AGENT IS A SYSTEM, NOT JUST A CHATBOT.
An AI agent is software that handles a specific job in your business automatically — reading data, making decisions based on your rules, and taking action without needing someone to click buttons. What makes an agent useful is not just the AI model. It is the tools it can access, the knowledge about your business, backup plans for when it encounters something unexpected, rules for checking whether its output is good enough, and the way it fits into the workflow around it.
Define one clear responsibility for each agent.
Give it access to the right tools and knowledge about your specific business.
Create validation and escalation rules so mistakes get caught before they matter.
Measure quality and failure modes after launch.
Package proven agent patterns like content production, sales coaching, and inbox management into something your team can actually run.
THIS SERVICE IS BUILT FOR...
You have a specific business task that someone does repeatedly and you wonder if AI could handle it
You've tried ChatGPT for business tasks but it doesn't remember your processes or follow your rules
You want AI that works like a specialist on your team — focused on one job and doing it well
You need something more reliable than a chatbot but less expensive than hiring another person
You want to automate a complex process that requires judgment, not just simple if-then rules
WHAT CUSTOM AGENT WORK CAN INCLUDE
Single-Purpose Agents
Purpose-built agents for research, analysis, triage, scoring, drafting, or summarization. This includes proven patterns like content production, data intelligence, sales coaching, hiring screening, and email management.
Multiple Specialized AI Tools Working Together
Route work between specialist agents when a single general-purpose agent is not enough for the job.
Quality Checks and Validation
Use rules, tests, and human review patterns to keep output reliable enough for daily business use.
HOW I BUILD CUSTOM AGENTS
Phase 01Define the Job
Clarify the task, what success looks like, and what the agent is allowed to do.
Define the Job
Clarify the task, what success looks like, and what the agent is allowed to do.
Phase 02Design the Knowledge and Tools
Choose the right instructions, data access, and connections to external tools for the job.
Design the Knowledge and Tools
Choose the right instructions, data access, and connections to external tools for the job.
Phase 03Test the Failure Modes
Identify where the agent goes wrong and add validation or human escalation before wider rollout.
Test the Failure Modes
Identify where the agent goes wrong and add validation or human escalation before wider rollout.
WHAT YOU GET
A complete design for your custom AI agent, including what it does and how it handles edge cases
A clear definition of the agent's job, boundaries, and what it is not allowed to do
A plan for the data, tools, and business knowledge the agent needs to do its job well
Built-in quality checks and testing so you can trust the agent's output
A working agent with monitoring and clear documentation for your team
CUSTOM AGENTS THAT DO REAL WORK, NOT JUST DEMOS.
A well-built agent handles a specific job reliably, every time. Here is what that looks like in practice.
Sales Coaching System
A team of 8 AI agents that analyze sales calls and generate coaching recommendations.
A custom multi-agent system was built to analyze sales call recordings, score them on key qualification criteria, identify coaching opportunities, and generate personalized recommendations for sales reps — processing over 1,700 calls automatically.
FAQ
What is a custom AI agent?
A custom AI agent is software that handles one specific repeating task — sorting leads, drafting email responses, summarizing meeting notes — automatically, following your rules, using your data, without manual intervention.
- •Each agent follows your business rules and processes, not generic instructions
- •Each agent connects to your tools and data to perform real work inside your systems
- •Each agent runs automatically and escalates to a human when confidence drops below a set threshold
Will this replace my staff?
No. Custom agents handle the high-volume repetitive parts of a task — analyzing calls, sorting leads, drafting responses. Your team focuses on strategic decisions, relationship-building, and creative problem-solving.
- •Agents handle repetitive work: call analysis, lead sorting, response drafting, data summarization
- •Teams handle judgment work: strategic decisions, client relationships, and exception handling
- •Staff become more productive with agent support — output increases without headcount increases
How technical does my team need to be?
Zero technical skills required. The agent runs in the background and delivers outputs directly into Slack, email, your CRM, or dashboards your team already uses.
- •Zero coding or technical knowledge required from anyone on your team
- •Agent outputs appear inside familiar tools — Slack, email, CRM, and dashboards
- •Documentation and training are included so your team understands the agent's workflow and escalation rules
Why build a custom agent instead of using ChatGPT or Claude directly?
General-purpose tools answer ad hoc questions. Custom agents handle repeating tasks with access to your systems, your rules, and your safety checks — producing consistent results without re-explaining the task every time.
- •General-purpose tools lack memory of your processes, access to your tools, and knowledge of your rules
- •Custom agents are pre-configured with your data, your rules, and your workflow logic
- •Consistent, auditable results replace the manual re-prompting required by generic chatbot interfaces
How long does it take to build a custom agent?
Simple single-task agents go live in 1-2 weeks. Standard agents with integrations take 3-4 weeks. Multi-agent systems with multiple specialists require 5-6 weeks.
- •Week 1: Define the job, success criteria, and operational boundaries
- •Week 2-4: Build, test, and refine the agent with real data from your systems
- •Week 5-6: Launch with monitoring dashboards and train your team on the workflow
How much does a custom AI agent cost?
Custom AI agents cost $5,000-$30,000 to build. Ongoing operation and monitoring runs $2,000-$5,000 per month. The price scales with the number of agent capabilities and integrated systems.
- •$5,000-$10,000 for single-task agents handling email triage or data summarization
- •$10,000-$20,000 for multi-step agents with integrations like sales coaching or content production
- •$18,000-$30,000 for multi-agent systems with multiple specialists coordinating together
- •$2,000-$5,000 per month for ongoing operation, monitoring, and agent improvements
What happens if the agent makes a mistake or encounters something unexpected?
Every agent includes 3 safety layers: validation rules that catch errors before output, confidence thresholds that trigger human escalation, and monitoring dashboards that track every action and failure mode.
- •Validation rules catch formatting, logic, and data errors before any output reaches your team
- •Confidence thresholds route uncertain outputs to human review instead of guessing
- •Monitoring dashboards display real-time agent activity, error rates, and escalation patterns
Can I see an example of what you have built?
Yes. A production sales coaching system uses 8 specialized agents to analyze 1,730+ calls automatically — 5 analysis agents, 1 scoring agent, 1 coaching agent, and 1 orchestration agent.
- •8 agents coordinate per call: 5 for analysis, 1 for scoring, 1 for coaching, 1 for orchestration
- •40 seconds per call at $0.05 per analysis — processing 1,730+ calls without manual intervention
- •Personalized coaching recommendations generated for each sales rep based on call-level scoring
BUILD AN AGENT FOR A REAL JOB, NOT A DEMO.
If there is a repeated task your team keeps doing manually, that is usually where a useful agent starts.
