Is this a fit?
Build custom AI agents for businesses — customer support, research, scheduling, data processing, and complex workflow automation
Skills to bring or develop
- Python/JavaScript
- API Integration
- Prompt Engineering
- Systems Design
The starting sequence
- Master agent frameworks
- Build 3 demo agents
- Create industry-specific packages
- Land enterprise clients
- Scale with managed agent hosting
Find your first customers
Treat this customer profile as a starting hypothesis. Talk to people in this role and find out what they already do, what it costs them, and whether they want help.
Role
CTO / VP Engineering
Company size
20-200 employees
Industry
SaaS / Tech
Problems to investigate
- Team too busy for AI R&D
- Chatbot doesn't handle complex scenarios
- Manual processes that should be automated
- Can't hire AI/ML engineers (too expensive)
- Need custom AI, not generic SaaS tools
Channels to test
- Content Marketing
- Communities
- Partnerships
First launch approach
Build 3 open-source demo agents, write technical blog posts, speak at AI meetups
Ways to find your first customer
- Build and open-source a useful agent (e.g., email triager, meeting scheduler)
- Write technical deep-dives on agent architecture
- Present at AI/ML meetups and conferences
- Partner with dev agencies who don't do AI
- Target companies already using AI tools but want custom solutions
Content ideas
- AI agents vs chatbots: what's the difference?
- Building a customer support agent that actually works
- Why your AI chatbot should be an agent instead
- Real-world ROI from AI agent implementations
Shape the offer & delivery
These are example packages to adapt, not current market rates or promises of sales. Choose one deliverable, set a revision limit, and test the scope with a real buyer before expanding.
Single Agent
$5,000 example price
- 1 custom AI agent
- API integrations (up to 3)
- Testing + deployment
- Documentation
- 2 weeks support
Agent Suite
$12,000 example price
- 3 interconnected agents
- Complex workflow automation
- Dashboard for monitoring
- Custom tool calling
- Training for team
- 1 month support
Managed Agents
$3,000/mo example price
- Ongoing agent management
- Performance optimization
- New agent development
- Usage monitoring
- Priority support
- Quarterly reviews
Build and deliver the offer
Service delivery
Packages
Name
Single Agent Build
Deliverables
- 1 custom AI agent solving one specific workflow
Timeline
2-3 weeks
Included in this example
- Workflow mapping
- Agent build + tool integrations
- Testing against real scenarios
- 2 weeks post-launch support
Outside this example
- New integrations beyond initial scope
- Ongoing model/prompt maintenance
Name
Multi-Agent System
Deliverables
- 2-4 agents working together on a broader process
Timeline
4-8 weeks
Included in this example
- Full process audit
- Agent orchestration design
- Monitoring/logging setup
- Team training
Name
Managed Retainer
Deliverables
- Ongoing agent maintenance, monitoring, and iteration
Timeline
Monthly
Included in this example
- Usage monitoring
- Prompt/logic updates as needs evolve
- New tool integrations as requested
Client onboarding
Step
Map the current manual process end-to-end via screen-share before proposing any agent design
Who handles it
you
Step
Client identifies which systems the agent needs access to (email, CRM, database, APIs)
Who handles it
client
Step
Confirm data sensitivity level — some data may require on-prem or restricted-model handling
Who handles it
client
Step
Build and test in a sandboxed environment with fake/sample data before touching production systems
Who handles it
you
Kickoff conversation
- Walk through the current manual process, step by step, screen-share required
- Identify the specific trigger and desired end-state for the agent
- Surface edge cases: what happens when the agent hits ambiguous or missing data
- Agree on the human-review checkpoint, if any, before the agent takes consequential actions
Your launch roadmap
Work through the phases at your own pace. Durations and task hours are estimates; client conversations, sales, and other outcomes depend on the response you receive. Growth and exit steps are optional later decisions.
0 of 14 tasks checked
01 · Foundation 2 weeks · suggested pace
Master agent frameworks and build demo portfolio
Deep-dive into Claude Agent SDK, LangChain agents, and CrewAI for multi-agent systems
Target deliverable: Framework proficiency
Tool examples: Claude API, LangChain, Python
Planning allowance: 20 hours
Create agents for: email triage, meeting scheduling, and data analysis — deploy publicly
Target deliverable: 3 live demo agents
Tool examples: Claude API, Supabase, Vercel
Planning allowance: 25 hours · AI can assist; review the output
Build reusable patterns for tool calling, memory, error handling, and monitoring
Target deliverable: Agent starter kit
Tool examples: GitHub, Notion
Planning allowance: 10 hours
02 · Launch 3 weeks · suggested pace
Land first 1-2 enterprise agent projects
Write 5 deep-dive blog posts on agent architecture, share on HN, Twitter, LinkedIn
Target deliverable: Technical authority
Tool examples: Blog, Twitter/X, LinkedIn
Planning allowance: 15 hours · AI can assist; review the output
Present at 3 local or virtual AI/ML meetups, demo your agents live
Target deliverable: 3 speaking engagements
Tool examples: Meetup.com, Zoom
Planning allowance: 10 hours
Identify 20 companies with manual processes ripe for agents, pitch custom solutions
Target deliverable: 1-2 signed projects
Tool examples: LinkedIn, Email, Loom
Planning allowance: 12 hours
03 · Scale 2 months · suggested pace
Build managed agent business and recurring revenue
Convert completed projects into managed agent hosting with monthly retainer
Target deliverable: 2-3 managed clients
Tool examples: Stripe, Notion, Monitoring tools
Planning allowance: 10 hours
Turn most-requested agent types into white-label products for faster delivery
Target deliverable: 2 productized agent templates
Tool examples: GitHub, Vercel, Supabase
Planning allowance: 20 hours · AI can assist; review the output
Partner with 5 dev agencies, consultants, and VCs who encounter agent opportunities
Target deliverable: Referral pipeline active
Tool examples: LinkedIn, Email
Planning allowance: 8 hours
04 · Exit 60 days · suggested pace
Prepare your AI agent building business for sale, acquisition, or hands-off operation
Create comprehensive standard operating procedures covering every repeatable process in your AI agent building business — client onboarding, delivery workflows, billing, and support. A buyer needs to run this without you.
Target deliverable: Complete SOP handbook with video walkthroughs
Tool examples: Notion, Loom, Google Docs
Planning allowance: 12 hours · AI can assist; review the output
Record the questions this step raises for your business, location, and circumstances. Confirm requirements and assumptions with current official sources and a qualified professional before acting.
Target deliverable: Valuation estimate with supporting financials
Tool examples: Google Sheets, ChatGPT
Planning allowance: 6 hours · AI can assist; review the output
Organize all financial records, contracts, customer data, IP documentation, and legal documents into a virtual data room that a buyer or their advisor can review.
Target deliverable: Organized virtual data room
Tool examples: Google Drive, Google Sheets
Planning allowance: 10 hours
Identify every area where the business depends on you personally. Delegate, automate, or document each one. Test by taking 2 weeks off and measuring impact.
Target deliverable: Owner dependency scorecard (before/after)
Tool examples: Notion, Zapier, Slack
Planning allowance: 20 hours
Create a teaser document (blind profile) for your AI agent building business and either list on marketplaces (Acquire.com, Flippa, Quiet Light) or reach out directly to 5-10 potential acquirers.
Target deliverable: Teaser document + 5-10 buyer conversations started
Tool examples: Acquire.com, Google Docs, Email
Planning allowance: 8 hours · AI can assist; review the output
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Tools, budget & effort
These are tools named in the original playbook, offered as examples to evaluate. Check current capabilities, pricing, licensing, and data handling with the provider before subscribing. Start with the tools you already have.
- Claude API
- OpenAI API
- LangChain
- n8n
- Supabase
Tools to evaluate
Item
Claude/OpenAI API accounts with billing set up
Why consider it
This is the actual product — you cannot demo or build without live API access
Item
An orchestration framework (LangChain, CrewAI, or similar)
Why consider it
Rebuilding agent scaffolding from scratch per client burns the margin this business depends on
Item
A staging environment separate from client production
Why consider it
The #1 mistake new agent builders make is testing against a live client system — one bad tool call can break something real
Make the numbers your own
Include setup, subscriptions, selling, fulfillment, revisions, support, and your time. Use your actual inputs and compare a cautious case with a better case.
Open the experiment calculator →AI roles & prompt templates
Assign a clear job, provide approved inputs, and review the result. These are role and prompt ideas; this page does not run AI or connect your accounts.
Backend Dev
Review this agent workflow design and flag any error-handling gaps
Test Engineer
Suggest 10 edge-case scenarios I should test this agent against before delivery
Sales Optimizer
Help me write a LinkedIn outreach message to ops leaders about custom AI agents
Use the first task above as your opening prompt. Include your audience, desired output, constraints, and how you will judge quality.
Your first small test
- Choose one customer. Find five people who have the problem described in this guide.
- Show one useful sample. Ask about their current process, priorities, and objections.
- Offer a clearly scoped pilot. Agree on deliverables, a price to test, and what success means.
- Record the evidence. Track responses, costs, hours, and what the buyer actually used. Decide whether to continue, change, or pause.
Explore related ideas
Adapted from Ashley’s Waymaker side-hustle playbooks, imported October 15, 2026. This is a published snapshot, not a live connection to your Waymaker account. Source examples are planning material, not verified customer outcomes. Explore Waymaker.