Tessaloom
Weave cultural connections into testable creative experiences.
Tessaloom helps small cafés, bookstores and community venues design original events from the
cultures their audience loves. You write a brief and name two to six interests (a film, an
author, a musician). Claude agents then work with Qloo's taste data: they discover
connections across cultural worlds, turn surprising pairings into hypotheses, test each claim
against Qloo evidence, and compose a practical experience blueprint. Every statement in that
blueprint says whether it is evidence, AI interpretation or creative speculation.
Built for the Qloo Agentic Hackathon. Submission deadline: October
30, 2026, 11:45 PM ET (October 31, 11:45 AM Beijing).
Status
| Area | Status | Evidence |
|---|
| Full workflow with live Qloo data and Claude (brief → entity selection → discovery → hypotheses → blueprint) | Verified locally, 2026-10-26 | Acceptance report: 5/5 Claude calls valid, 93 cross-world bridges, 5 hypotheses tested against live Qloo evidence, 15-block blueprint whose 7 citations all resolve |
| Same workflow in production with live Qloo data and a paid AI API | Not running: no provider key installed; sending Qloo-derived data to an AI provider awaits Qloo's written permission | Gemini migration, production runbook |
| Production service (Northflank): database, queues, Qloo Harness readiness | Verified (deployed 859cd9f) | Release handoff, Qloo probe report |
| Public demo URL | Live: https://p01--tessaloom--mpfcqkyl42yb.code.run. Open access: the full agent on Gemini 3.8 Flash over clearly labelled synthetic (fictional) cultural data, capped at $1/day | Judge demo, rollout evidence |
| Local demo without any keys (synthetic data, scripted AI) | Verified | Quick start below; Chromium + WebKit journeys in CI |
How it works
- Brief. The user describes the venue, audience goal, constraints and interests. Claude
(role R1) interprets it into an intent frame and flags ambiguity ("the novel or the film?").
- Entity selection. Qloo search and describe resolve each interest. The user picks the
intended entity; nothing ambiguous is chosen for them.
- Discovery. Qloo recommendations thread each interest into other worlds (books, music,
film, places). Items reached from more than one interest, or sharing Qloo themes across worlds,
become collision candidates. A tension slider trades familiar against surprising pairs.
- Hypotheses. Claude (R3) writes creative hypotheses from the chosen pool. Each carries
typed, testable claims. Tessaloom plans the Qloo query for each claim, and deterministic
evaluators grade the results as supports / contradicts / neutral / insufficient. Claude
(R4) critiques the evidence; weak ideas are revised or retired.
- What-if. Change one variable (weights, a seed, the tension). A dependency planner reuses
unaffected evidence, recomputes only what changed, and Claude (R5) explains the difference.
- Blueprint. Claude (R6) composes an editable plan whose blocks cite stored evidence. A
traceability check rejects unresolved citations. Users edit, export Markdown and share read-only.
Qloo integration
Tessaloom uses Qloo only through the official @qloo/qloo-harness (0.1.26) surfaces supported by
the event: MCP/exec workflows and api search.
This is the beginning of the README. Read the rest at the original. Read the full README ↗
