AI Agent Starter Pack: 11 Domain Agents and a 7-Day Activation Plan for Solo Operators

Building AI agents from scratch when you are running a solo operation is the wrong order. You lose a week to architecture decisions before any actual work gets automated. This starter pack gives you 11 domain agents that are already designed, prompted, and sequenced -- plus a 7-day plan that gets the first one running on day one.

The 11 Agent Domains (and Why These 11)

The 11 domains were chosen by a single filter: tasks that solo operators do repeatedly, that follow a consistent enough pattern for an agent to handle, and where a failure costs less than the time saved. The domains:

1. Email triage and draft -- classify incoming email by type, draft replies for approval
2. Research synthesis -- given a topic + source list, produce a structured brief
3. Content repurposing -- take a long-form piece, produce 5 derivative formats (thread, summary, LinkedIn, email, short video script)
4. Lead qualification -- score inbound leads against a criteria rubric, output a ranked list
5. Proposal drafting -- from a brief, generate a structured proposal draft with pricing scaffold
6. Invoice and payment tracking -- parse invoice data, update a tracker, flag overdue items
7. Competitor monitoring -- weekly scan of competitor sites/socials, summarize changes
8. Meeting prep -- given an attendee name + context, produce a pre-meeting brief
9. Customer onboarding sequence -- trigger-based message sequence for new customers
10. Knowledge base Q&A -- answer internal questions from your own documents
11. Social listening digest -- aggregate mentions and relevant conversations, daily summary

What Each Agent Spec Contains

Each of the 11 agents comes as a fully specified module, not just a prompt. Each module includes:

• System prompt (tested and ready to paste into your agent framework of choice)
• Input schema -- exactly what data the agent needs to run, in what format
• Output schema -- what the agent will return, structured so you can pipe it to the next step
• Tool list -- which tools the agent needs (e.g. web search, email read, spreadsheet write) and minimum permission scope
• Failure modes and fallbacks -- documented failure conditions and what the agent should do instead of silently failing
• Human-review trigger -- the condition under which the agent should stop and surface to you rather than proceeding

The module format means you can drop any agent into LangChain, CrewAI, n8n, Make, or a custom wrapper with minimal adaptation.

The 7-Day Activation Plan

The pack includes a sequenced 7-day plan designed to have you operating at least 3 agents by end of week one:

• Day 1: Deploy the email triage agent. This has the fastest ROI and lowest risk -- it drafts, you approve, nothing sends without you. Get one real day of output.
• Day 2: Measure time saved from Day 1. Adjust the system prompt for your email types. This is the calibration step most people skip.
• Day 3: Deploy the research synthesis agent. Feed it one actual research task you have been deferring.
• Day 4: Connect email triage output to proposal drafting agent. Now you have a two-agent pipeline.
• Day 5: Deploy content repurposing agent. Run it on one piece of content you already have.
• Day 6: Review all three agents' output quality. Document what works and what to adjust.
• Day 7: Choose the next two agents based on your actual bottlenecks. The remaining 8 agents wait until you have capacity to deploy them properly.

What You Still Need to Bring

The starter pack is not a turnkey SaaS product. You need to bring:

• An API key for at least one LLM provider (OpenAI, Anthropic, or Google)
• A basic automation environment (n8n, Make, or the ability to run a Python script)
• 30-60 minutes on Day 1 to adapt the system prompts to your specific context and tone

What you do not need: a technical co-founder, a developer, or any prior experience building agents. Each agent spec is written so that a non-technical operator can follow it step by step. The technical prerequisite is "able to paste a system prompt into an interface" -- not "able to write code."

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