Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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46 solutions · page 1 of 4
agnostic-punch-list-field-capture-agent
A superintendent walks a job site with a clipboard, snapping photos and scribbling notes. Back at the trailer, they manually type punch items into Procore or Buildertrend. Items get lost, photos are mislabeled, and the owner's rep waits days for a consolidated list.Snap photos, record voice memos, and auto-sync punch items to your PM software in real time.
agnostic-plan-takeoff-to-rfp-agent
A general contractor's estimator spends 2-3 days manually measuring plans, counting fixtures, and typing up scopes for each trade. Mistakes in takeoff lead to under-bid jobs or angry subs. The process is tedious, error-prone, and scales poorly with project volume.Convert plan sets and spec docs into a bill of materials and RFP drafts in minutes, not days.
openai-code-sandbox-for-veterinary-practice-performance-analytics
Veterinary practices generate appointment, revenue, and treatment data that managers want to analyze to improve margins, but they can’t share proprietary patient and financial records with a public AI assistant. They need a safe, isolated environment where they can ask natural-language questions and get answers backed by real clinic data.Secure, cost-capped AI data sandbox that lets veterinary practice managers run ad‑hoc analysis on clinic data without exposing sensitive information to external services.
openai-voice-agent-for-square-online-order-status-inquiries
Small online stores using Square Online lose sales when customers can't get quick order updates and end up calling the owner's personal phone repeatedly.Let customers call and check their Square Online order status with a conversational AI that looks up real-time order data.
agnostic-reservation-cancellation-predictor
The restaurant manager or host at a small hospitality group dreads the nightly rush of last-minute cancellations and no-shows. They manually call through a waitlist, often too late to fill the table. This reactive process loses revenue every shift, especially during peak hours. With no tech budget for expensive reservation systems, they rely on spreadsheets and gut feel. The manager needs a predictive system that automatically backfills cancellations by contacting waitlisted guests via SMS or voice, maximizing table turns without extra labor.Fill no-shows automatically with AI-driven waitlist activation.
openai-lead-intake-with-intent-routing-for-smbs
SMBs using live chat or contact forms receive a flood of unqualified inquiries. Sales teams waste time on generic questions and miss real buying signals, while no follow-up history persists across sessions.Chat-based lead intake that classifies buyer intent and routes qualified conversations to the right sales agent, with full session history.
openai-1099-collection-agent
A CPA firm owner dreads January each year because they must manually classify every contractor as 1099-NEC or non-reportable, chase down missing W-9s via email, and prepare filings. With dozens of clients and hundreds of contractors, the process is error-prone and stressful. The owner needs an automated system that classifies contractors based on payment data, sends polite W-9 requests, and tracks completion to ensure timely filing.Automate contractor classification, W-9 requests, and 1099-NEC generation to end the annual scramble.
openai-cost-control-for-servicetitan-small-business-agent-spend
SMBs deploying AI-driven scheduling and dispatch agents on ServiceTitan risk runaway costs if one tenant floods the system with requests; without per-tenant budgets, a single bad day can exceed the entire month's budget.Cap and monitor OpenAI tokens per ServiceTitan tenant so field-service AI automation never blows the monthly budget.
agnostic-no-show-recovery-voice-agent
A front-desk receptionist at an urgent care or mental health clinic manually calls or texts each no-show patient, often leaving voicemails that go unanswered. This process takes 10-15 minutes per patient and fails to rebook most appointments. With 10-20 no-shows daily, the clinic loses revenue and staff time. The receptionist needs an automated system that calls patients, understands their availability, and rebooks directly into the scheduling system.Automate appointment no-show recovery with AI voice calls that rebook in under 30 seconds.
openai-voice-agent-for-auto-repair-estimates
Small auto-repair shops miss revenue from after-hours callers who need estimates but can’t reach anyone. Manual intake by voicemail is slow, error-prone, and rarely converts to a booked job.Answer after-hours calls, capture vehicle details, and provide instant repair estimates for auto shops — all via natural voice conversation.
agnostic-discovery-doc-review-assistant
A litigation partner at a 5-attorney firm faces discovery requests on cases with modest budgets. Manual review of thousands of documents is uneconomic, often forcing the firm to settle or go pro se. The partner spends weekends reviewing docs, burning out and missing key evidence. Small matters become unprofitable due to the high cost of discovery.Make document review economic for small cases with automated summarization and privilege flagging.
agnostic-per-tenant-llm-cost-chargeback-2
As a product manager at a vertical SaaS company, you need to offer AI features to your SMB customers but each customer may use different LLM providers based on their plan. You lack per-tenant cost tracking, making it impossible to charge back usage accurately. This leads to margin erosion and prevents you from scaling AI features profitably. You need a solution that captures LLM costs per tenant and integrates with your existing billing system.Track and bill each SMB customer for their AI usage with granular cost attribution.