Paid automation diagnostic or 48-hour build sprint
One broken workflow, diagnosed fast or shipped as a working AI system.
For agencies, founders, and small teams with manual follow-up, support triage, reporting, CRM cleanup, quote generation, document search, or a half-built app that needs to become useful now.
Northline Dental
Priority lead because the workflow affects appointment conversion and can start with intake forms, missed-call notes, and a short follow-up script.
Built for operational bottlenecks.
The best starting point is a workflow that already costs time, loses leads, slows support, or creates repetitive reporting work.
Lead follow-up
Import leads, summarize context, score urgency, draft replies, and track next actions.
Internal assistants
Search company docs, notes, tickets, PDFs, and structured records with clear source references.
Reporting automation
Turn spreadsheet or export data into weekly summaries, anomalies, and client-ready drafts.
Demo: lead follow-up
A synthetic command center for prioritizing leads, summarizing context, drafting replies, and tracking next actions.
Demo: docs assistant
A synthetic internal knowledge assistant that answers operational questions with citations and refuses unknown topics.
Delivery style
Small first milestone, approved data, working output, basic error handling, and handoff notes.
Start with a paid diagnostic when speed matters.
A diagnostic is the lowest-risk way to turn a messy automation or app problem into a clear fix path without opening a huge project. It is designed for one broken workflow, one set of sample inputs, and one useful output.
Good fit
- broken Zapier, Make, n8n, webhook, or API flow
- Vercel or Next.js app issue blocking an AI feature
- spreadsheet, inbox, CRM, or docs workflow that needs a clean plan
Deliverable
- issue map and root-cause notes
- recommended fix path
- small patch or prototype when feasible
- handoff notes and next scope
Boundary
- sample or sanitized data first
- no production credentials before paid scope
- no free production build
- clear expansion price before larger work
Overflow build capacity for AI automation agencies.
Useful when an agency already has strategy, client demand, or a scoped implementation need, and wants another builder for execution without handing over account ownership or sales strategy.
Implementation support
API/webhook logic, OpenAI/Claude workflow steps, form-to-CRM flows, internal dashboards, docs assistants, QA checks, and handoff documentation.
White-label friendly
Work can stay behind the scenes. The cleanest first milestone is one sanitized workflow and one concrete output your team can inspect.
Fast test slice
$150-$300 diagnostic or $750-$1,000 pilot before larger client work. No free production implementation.
Proof without inflated claims.
Current public examples are self-built demos, not claimed client deployments. They show workflow structure, data modeling, AI guardrails, and handoff style.
Lead Follow-Up Command Center
Lead scoring, summary, suggested reply, pipeline value, and next action tracking.
Internal Docs Assistant
Document Q&A with source references and safe unknown-topic handling.
No-Code MVP Blueprint
Airtable-style schema, Softr-style portal map, OpenAI guardrails, Stripe gates, and launch milestones.
Prompt Leak Guard
A QA-checked local browser extension that scans AI prompts for keys, tokens, private keys, credential-bearing database URLs, cards, and private data before sending.
AI prompt scanner · Try free scanner · Read field notes · Open product page · Buy on Payhip
Maker Margin Planner
A QA-checked local browser extension that estimates Etsy-style fees, costs, labor, profit, margin, breakeven price, and target price.
Seller margin calculator · Try free calculator · Read field notes · Open product page · Buy on Payhip
Proof workflow
n8n-style lead triage workflow with sample input, expected output, local validation, and reliability checklist.
Case study
One-page walkthrough of the lead triage workflow, pilot scope, and acceptance criteria.
Reliability checks
Failure modes include bad inputs, duplicate events, API failures, low-confidence AI output, and approval gates.
First paid pilot
One workflow, approved sample data, working output, tests, handoff notes, and clear expansion criteria.
Fixed scope before build.
Each project starts with one workflow and one useful output. Bigger systems can follow after the first build proves value.
Agency test slice
One narrow workflow map, sample input/output, validation notes, and handoff plan for agencies evaluating overflow capacity.
Starter
One simple workflow, one data source, one working prototype, and handoff notes.
Core
Workflow map, working app or automation, up to three integrations, deployment notes, and two revision passes.
Rush or complex
Priority build window, deeper debugging, app repair, branching workflow logic, and a post-delivery fix window.
Simple delivery loop.
1. Scope
Pick one workflow, define inputs, outputs, constraints, and success criteria.
2. Build
Ship the smallest working version with clear logs, errors, and handoff notes.
3. Improve
Use one revision pass for the parts that matter, then decide whether to expand.