Agents

Beta

Browse AI agents built and shared by the Twin community. Get inspired by what others are automating.

197 agents

Motivated Seller Scout

Ask for the target market, lead type, property filters, and urgency keywords if they are missing

Search public listing pages, FSBO sources, classifieds, social posts, and county-facing pages for recent seller signals

Normalize each candidate into address, source, price, property type, snippet, and URL fields

Filter by market, property type, price band, recency, and configured urgency signals

Score each survivor for seller motivation and explain the exact evidence behind the score

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Creator Drop Composer

Wake on schedule and confirm no run has already shipped for today's date

Read recent runs to build an exclusion list of recently used themes and hooks

Search the web for fresh sources tied to your topic focus and an allowed theme

Plan a lineup of draft slots across non-repeating theme and angle combinations

Draft each slot with hook, body, and CTA in your brand voice using the LLM

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Probate Lead Hunter

Trigger daily at the configured time and pull the list of target counties

Scrape each county docket and legal-notice source for filings posted since the last run

Parse filing PDFs with Twin AI to extract decedent, executor, attorney, case number, and filing date

Skip-trace each executor for phone and email using embedded enrich_property action property_skip_trace

Load the historical leads sheet and dedupe by case number and executor name

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Market Research Scout

Ask for the market, audience, property segment, and research angle if missing

Search public market reports, listing portals, local boards, and neighborhood news

Extract dated metrics for inventory, median price, days on market, supply, rents, and demand signals

Collect local economic, infrastructure, school, employer, and sentiment signals where relevant

Compare findings and flag stale, conflicting, or low-confidence data points

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Niche Content Composer

Read current time and recently published posts from the agent database

Run 2–3 targeted web searches for fresh news, tools, and discussions in the niche

Score candidate topics for freshness, fit, and non-overlap with the dedupe window

Pick the strongest topic and draft post copy in the configured brand voice

If images are enabled, generate one supporting visual matching the post

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Foreclosure Flip Deal Hunter

Pull target markets, price ceilings, rehab budget, and fixer keywords from the configured fields

Scrape Realtor.com listings in each target market matching keywords and price range

Scrape county sheriff-sale, foreclosure-auction, and tax-sale portals serving each market

Enrich each candidate with comps, ARV estimate, rehab estimate, and lien/ownership signals

Apply the 70% rule and grade A/B/C against margin, condition, and exit strategy

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Real Estate Content Composer

Query the agent database for the last 30 days of used angles, hooks, and neighborhoods

Run parallel web searches for local market stats and local economic or community news

Pick a fresh angle that hasn't been used recently and choose a target audience for each post

Generate platform-specific drafts with a hook, 2-3 data points woven in, and a clear takeaway

Append drafts to the Google Sheet with date, platform, hook, body, hashtags, and sources

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R2SA Deal Hunter

Read configured cities, rent ceiling, property types, occupancy, operating cost percentage and profit threshold

Scrape long-term rental listings on each portal for each city, filtered by rent ceiling and property type

Normalize listings to a common shape and dedupe against the agent database of previously seen URLs

For each new listing, fetch Airbnb comparables for the same neighbourhood and bedroom count to estimate average daily rate

Compute estimated monthly gross revenue, deduct rent and operating costs, and derive monthly net profit

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Cash Buyer Finder

Collect target ZIPs or counties, lookback window, property types, and minimum purchase count

Resolve official recorder and assessor sources for each county

Search public deed records for recent sales and mortgage indicators

Filter to likely cash purchases and allowed property types above the price floor

Group buyer names and mailing clues into repeat-buyer entities

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Viral Draft Composer

At the start of each run, fetch current time, then count queued items and recently processed sources from the agent database

If queue is below target, run 3 parallel web searches plus scrapes of trend feeds to surface fresh angles in the chosen niche

Filter sources against the dedupe window and pick the top N angles by relevance and recency

Call Twin AI with a brand-voice system prompt to draft N unique posts, varying hook, structure, and CTA across items

If cover images are enabled, generate one image per draft; on failure, mark the item text-only and continue

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