Lemma

🚀 Live now — uselemma.vercel.app — sign up and start evaluating papers.

A commercialization evaluation platform for Technology Transfer Offices (TTOs) and researchers.

Upload a research paper (PDF) and Lemma runs it through a pipeline of grounded AI agents that evaluate its commercial potential — paper analysis, TRL/IRL readiness scoring, market sizing with live web retrieval, feasibility assessment, and a fully-cited investor deck exportable to PDF, PowerPoint, and Word.

What Lemma Does

Technology Transfer Offices sit on a backlog of research papers and need to decide which ones are worth commercializing. Lemma automates the first-pass evaluation:

Paper Analysis — extracts the abstract, novelty, domain, and key claims (with confidence levels) from the uploaded PDF. Rejects non-research documents.
Skeptical Critique — an adversarial review agent audits the analysis against the source PDF and forces a regeneration if it finds critical grounding issues.
TRL/IRL Scoring — scores Technology Readiness Level and Investment Readiness Level, suggests a commercialization pathway (spin-off / licensing / partnership), and flags risks.
Market Scouting — live web retrieval (Tavily) for competitors, funding signals, patents, and market sizing, followed by a synthesis step where every figure must cite a retrieved source URL.
Feasibility Assessment — timeline and capital estimates as explicit ranges with confidence levels and traceable reasoning (with its own critique pass).
Investor Deck Generation — a synthesizer agent composes deck slides where every factual claim carries a factRef pointing back to an upstream finding. Decks are then exportable to PDF / PPTX / DOCX with visible source citations.
Human Review — projects land in a review stage where TTO staff and committee members evaluate the results before export.

Tech Stack

Layer	Technology
Framework	Next.js 14 (App Router) + TypeScript + React 18
Database	Neon Postgres via Prisma 7 (`@prisma/adapter-pg`)
Auth	Clerk (middleware-gated workspace + onboarding flow)
File storage	Cloudflare R2 (S3 SDK) — PDFs in, deck exports out
LLM	Google Gemini (direct REST `generateContent`, per-agent model config)
Web search	Tavily (behind a swappable `search-client.ts` interface)
Background jobs	Inngest (durable, step-level retries)
Real-time	Pusher (optional at runtime — gracefully no-ops without env vars)
Rate limiting	Upstash Redis (`@upstash/ratelimit`)
Validation	Zod (every agent output is schema-validated before persistence)
Deck export	`puppeteer-core` + `@sparticuz/chromium` (PDF), `pptxgenjs` (PPTX), `docx` (DOCX)
UI	Tailwind CSS + Radix UI (shadcn-style primitives), Framer Motion, three.js (marketing site)
Testing	Vitest

High-Level Architecture

flowchart TB
    subgraph Client["Browser"]
        UI["Next.js Frontend<br/>(marketing site + protected workspace)"]
    end

    subgraph NextAPI["Next.js API Routes (Vercel/Node)"]
        Upload["POST /api/upload"]
        Analyze["POST /api/projects/:id/analyze<br/>(rate-limited 5/user/hr)"]
        Status["GET /api/projects/:id/status<br/>(lightweight polling)"]
        ProjectAPI["GET /api/projects/:id<br/>(full project data)"]
        Export["POST /api/projects/:id/export"]
        InngestRoute["/api/inngest<br/>(Inngest handler)"]
    end

    subgraph Background["Inngest — analyzePaper function"]
        Pipeline["Agent pipeline<br/>(sequential step.run per agent,<br/>3x retry per step)"]
    end

    subgraph External["External Services"]
        Clerk["Clerk<br/>(auth)"]
        R2["Cloudflare R2<br/>(PDFs + exports)"]
        Neon["Neon Postgres<br/>(Prisma)"]
        Gemini["Google Gemini<br/>(LLM)"]
        Tavily["Tavily<br/>(web search)"]
        Pusher["Pusher<br/>(real-time)"]
        Upstash["Upstash Redis<br/>(rate limits)"]
    end

    UI -->|"PDF"| Upload --> R2
    UI --> Analyze -->|"event: paper/uploaded"| InngestRoute --> Pipeline
    Analyze --> Upstash
    UI -->|"poll"| Status
    UI --> ProjectAPI
    UI --> Export
    Export -->|"render + upload"| R2

    Pipeline --> Gemini
    Pipeline --> Tavily
    Pipeline -->|"per-agent output models"| Neon
    Pipeline -->|"project-:id channel"| Pusher
    Pusher -.->|"events"| UI

    Clerk -.->|"middleware gates /app/*"| UI
    NextAPI --> Neon

The system has three runtime planes:

Synchronous plane — Next.js API routes handle upload, project CRUD, status polling, and exports. These are deliberately fast; the analyze endpoint only sets status = PROCESSING and fires an Inngest event.
Asynchronous plane — the entire agent pipeline runs inside one Inngest function (analyzePaper in lib/inngest.ts), with each agent isolated in its own step.run() so a failed step retries without re-running earlier (expensive) agents.
Notification plane — Pusher events on channel project-${projectId} plus browser polling of the lightweight /status endpoint. Either works alone; Pusher is optional.

The Analysis Pipeline

Pipeline Flow

flowchart TD
    A["📄 PDF uploaded to R2"] --> B["POST /api/projects/:id/analyze<br/>status → PROCESSING"]
    B --> C{{"Inngest event: paper/uploaded"}}

    C --> S1["agent-1-paper<br/>Paper Analyst (reads PDF)"]
    S1 --> S2["critique-paper<br/>Skeptical Review vs PDF"]
    S2 -->|"CRITICAL issues"| S1R["one-shot regeneration<br/>with critique as context"]
    S1R --> S3
    S2 -->|"OK"| S3["agent-2-trl-irl<br/>TRL/IRL Scorer<br/>(consumes Agent 1 output, never the PDF)"]

    S3 --> S4["agent-3-retrieve<br/>Market Retrieval (Tavily)<br/>sources → RetrievedSource table"]
    S4 --> S5["agent-3-market<br/>Market Synthesis (Gemini sees ONLY retrieved sources;<br/>every figure must cite a retrieved URL)"]
    S4 -.->|"retrieval failed"| SKIP["⏭ skip market stage<br/>(never fails the pipeline)"]
    S5 -.->|"synthesis failed"| SKIP

    S5 --> S6["agent-4-feasibility<br/>Feasibility Scout (reasons over Agents 1+2,<br/>market brief optional)"]
    SKIP --> S6
    S6 --> S7["critique-feasibility<br/>traceability + over-confidence audit"]
    S7 -->|"CRITICAL"| S6R["one regeneration"] --> S8
    S7 -->|"OK"| S8["save-agent-4 → FeasibilityData"]

    S8 --> S9["agent-5-pitch<br/>Pitch Builder (synthesizes slides from<br/>ref menu of upstream facts only)"]
    S9 --> S10["critique-pitch<br/>value-match audit vs all upstream outputs"]
    S10 -->|"CRITICAL"| S9R["one regeneration"] --> S11
    S10 -->|"OK"| S11["save-agent-5 → DeckData.slides<br/>DECK → COMPLETE, REVIEW → CURRENT"]

    S11 --> DONE["👤 Human review stage"]

    style SKIP fill:#fff3cd,stroke:#856404,color:#000
    style DONE fill:#d4edda,stroke:#155724,color:#000

The Agents

All agents live in lib/agents/. Each one's output is validated against a Zod schema (validators.ts) before persistence, and each Zod schema is also converted to a Gemini responseSchema (gemini-schema.ts) so the model is constrained at generation time and checked at parse time.

Agent	File	Input	Output	Role
Agent 1 — Paper Analyst	`paper-agent.ts`	The PDF	`PaperData`	Extracts abstract, novelty, domain, key claims with confidence. Rejects non-research documents (financial reports, textbooks, …). Accepts an optional `revisionContext` for critique-driven regeneration.
Skeptical Review	`critique-agent.ts`	Agent 1 output + PDF	critique findings	Audits grounding. CRITICAL findings trigger exactly one Agent 1 regeneration. Best-effort: an unusable critique falls back to the original analysis.
Agent 2 — TRL/IRL	`trl-irl-agent.ts`	Agent 1 output only	`TrlIrlData`	TRL/IRL scores, pathway suggestion (`SPIN_OFF` / `LICENSING` / `PARTNERSHIP`), risk flags. Deliberately never re-reads the PDF.
Agent 3 — Market Scout (2 stages)	`market-scout-agent.ts`	Stage 1: domain + key claims → Tavily. Stage 2: retrieved sources only	`MarketData` + `RetrievedSource`, `Competitor`, `MarketSignal` rows	Stage 1 (`runMarketRetrieval`) is retrieval-only. Stage 2 (`runMarketSynthesis`) lets Gemini see only the retrieved sources; `buildMarketScoutValidator` rejects any figure/competitor/signal whose `sourceUrl` isn't in the retrieved URL set, feeding Zod errors back into the retry prompt (max 3 attempts). Ungroundable figures come back `null`.
Agent 4 — Feasibility Scout	`feasibility-agent.ts`	Agents 1 + 2 (market brief optional)	`FeasibilityData`	Pure reasoning, no retrieval. Timeline/capital are ranges with required `confidence` + `reasoning`; the schema rejects `max <= min` (false-precision guard). Has its own critique pass (`runFeasibilityCritique`).
Agent 5 — Pitch Builder	`pitch-builder-agent.ts`	All upstream outputs	`DeckData.slides` (+ legacy `DeckSlide` rows)	Synthesizes investor-deck content (structured slides, not a file). `buildRefMenu` enumerates every citable upstream fact (e.g. `market.tam`, `paper.keyClaims[2]`) as the model's only citable menu; every factual bullet carries `factRefs`. Two guardrails: structural (`buildPitchValidator` rejects invented refs and source-URL mismatches) and semantic (`runPitchCritique` flags claims whose values don't match upstream).

Shared infrastructure:

gemini-client.ts — calls the Gemini REST generateContent endpoint directly (the installed SDK predates Gemini 3 and can't forward thinking_level). Per call it resolves {primary, fallback, thinkingLevel} from model-config.ts and falls back to the same-provider fallback model on retryable failures (429-after-retries / 503 / 5xx / timeout / network). Swappable transport for fault-injection tests.
model-config.ts — per-agent model + thinking-level config, env-overridable via GEMINI_MODEL_<AGENT>_<PRIMARY|FALLBACK|THINKING>. High-stakes agents (paper-reader, critique) run Pro at high thinking; cheaper agents run Flash/Flash-lite tiers.
search-client.ts — provider-agnostic web search wrapper (currently Tavily); swap via getSearchClient().

Grounding & Anti-Hallucination Design

The defining property of the pipeline is that claims are traceable end to end — from a slide bullet in the exported PPTX back to a retrieved URL or an upstream agent finding:

flowchart LR
    W["🌐 Web<br/>(Tavily results)"] -->|"persisted verbatim"| RS["RetrievedSource<br/>table"]
    RS -->|"only context the<br/>synthesis model sees"| M["MarketData figures<br/>each with sourceUrl<br/>(validated ∈ retrieved set)"]
    P["📄 PDF"] --> A1["PaperData claims"] --> CR["Critique audit<br/>vs PDF"]
    A1 --> T["TrlIrlData"]
    A1 --> F["FeasibilityData ranges<br/>+ confidence + reasoning"]
    T --> F
    M -.optional.-> F
    M --> RM["buildRefMenu<br/>(enumerated citable facts)"]
    A1 --> RM
    T --> RM
    F --> RM
    RM -->|"only citable menu"| D["DeckData slides<br/>bullets carry factRefs<br/>{ref, sourceUrl}"]
    D --> X["Exports (PDF/PPTX/DOCX)<br/>render visible Sources blocks<br/>per slide"]

The layered defenses, in order:

Schema constraint at generation — Gemini responseSchema derived from the same Zod schema used for validation.
Zod safeParse as source of truth — unsupported Gemini constraints (min/max, patterns, unions) are stripped from the responseSchema but still enforced by Zod.
Closed-world retrieval — market synthesis can only cite URLs that were actually retrieved; violations are rejected and the errors are fed back into a bounded retry loop.
Ref-menu citation — the pitch builder cannot invent facts; it can only reference enumerated upstream facts, and source URLs must carry through unchanged.
Adversarial critique agents — semantic audits at three points (paper, feasibility, pitch), each allowed exactly one regeneration to prevent loops.
Visible provenance — every export renders per-slide Sources citations; internally-grounded slides show a "Grounded in N upstream findings" note.

Failure Semantics

Stage	On failure
Agent 1 / Agent 2	Step retries 3× (Inngest); persistent failure → project `FAILED`, Pusher notification (`onFailure` handler)
Critiques	Best-effort — unusable critique falls back to the un-critiqued output, never fails the run
Market Scout (both stages)	Skip, don't fail — pipeline continues without market data; downstream agents handle its absence
Feasibility	Skip-don't-fail like Market Scout
Pitch Builder	Only runs if feasibility produced output; gracefully omits the MARKET slide when market was skipped

Deck Rendering & Export

lib/deck-render/ is deterministic plumbing — no LLM, no API keys. The validated DeckData.slides JSON is the single source of truth.

flowchart LR
    DD["DeckData.slides<br/>(validated Agent 5 JSON)"] --> BRD["buildRenderDeck<br/>render-model.ts"]
    BRD --> RD["RenderDeck<br/>(neutral normalized model)"]
    RD --> HTML["deck-html.ts +<br/>slide-templates.ts<br/>(theme-parameterized)"]
    HTML -->|"puppeteer-core +<br/>@sparticuz/chromium"| PDF["📑 PDF"]
    RD -->|"pptxgenjs"| PPTX["📊 PPTX"]
    RD -->|"docx"| DOCX["📝 DOCX"]
    PDF --> ST["store-exports.ts<br/>→ R2 + DeckExport rows"]
    PPTX --> ST
    DOCX --> ST

All three exporters consume the same RenderDeck, so the formats cannot disagree on content or grounding.
HTML/CSS templates are theme-parameterized (theme.ts): exports use a light, print-legible theme; the dark theme is reserved for a future interactive web review view.
PDF rendering is serverless-safe: Linux uses the small @sparticuz/chromium binary; locally it uses system Chrome (CHROME_EXECUTABLE_PATH to override). The footer is pinned absolute so the Sources block is never clipped.
Export is on-demand via POST /api/projects/[id]/export (only past the REVIEW stage): render → upload to R2 → upsert DeckExport rows for download links.
scripts/render-deck.ts <projectId> renders a stored deck to scripts/out/ locally for debugging.

Data Model

Defined in prisma/schema.prisma. Multi-tenant by institution, one model per agent output.

erDiagram
    Institution ||--o{ User : "has"
    Institution ||--o{ Project : "owns"
    User ||--o{ Project : "creates"
    Project ||--o{ ProjectStage : "6 stages"
    Project ||--o| PaperData : "Agent 1"
    Project ||--o| TrlIrlData : "Agent 2"
    Project ||--o| MarketData : "Agent 3"
    Project ||--o| FeasibilityData : "Agent 4"
    Project ||--o| DeckData : "Agent 5"
    Project ||--o| ReviewData : "human review"
    MarketData ||--o{ Competitor : ""
    MarketData ||--o{ MarketSignal : ""
    Project ||--o{ RetrievedSource : "Tavily raw sources"
    Project ||--o{ Evidence : ""
    DeckData ||--o{ DeckSlide : "legacy rows"
    Project ||--o{ DeckExport : "PDF/PPTX/DOCX in R2"
    ReviewData ||--o{ ReviewNote : ""
    Project ||--o{ CopilotPrompt : ""

Key enums:

StageKey — PAPER → TRL_IRL → MARKET → FEASIBILITY → DECK → REVIEW (each project has all six ProjectStage rows with COMPLETE | CURRENT | UPCOMING status).
AnalysisStatus — IDLE | PROCESSING | COMPLETE | FAILED (pipeline lifecycle).
ProjectStatus — DRAFT | IN_REVIEW | READY_FOR_EXPORT (workflow lifecycle).
UserRole — RESEARCHER | TTO_ANALYST | TTO_LEAD | COMMITTEE_MEMBER | ADMIN.
ConfidenceLevel — HIGH | MEDIUM | WATCH; SignalType — FUNDING | PATENT | DEMAND | POLICY.

Note: FeasibilityData keeps legacy string columns holding display-formatted derivations of the newer Json range columns; DeckData.slides (Json) is the source of truth with DeckSlide rows kept as legacy.

Authorization & Roles

middleware.ts (Clerk) gates everything under /app/*; the onboarding flow (app/onboarding/, /api/onboarding) must complete before workspace access.
Role-based visibility is enforced in the API route handlers (not middleware):

Role	Sees
`RESEARCHER`	Own projects only
`TTO_ANALYST` / `TTO_LEAD`	All projects in their institution
`COMMITTEE_MEMBER`	`IN_REVIEW` / `READY_FOR_EXPORT` projects only
`ADMIN`	Everything

API Surface

Route	Method	Purpose
`/api/upload`	POST	Server-side PDF upload to R2
`/api/projects`	GET/POST	List / create projects (role-scoped)
`/api/projects/[id]`	GET	Full project data (all agent outputs)
`/api/projects/[id]/analyze`	POST	Kick off the pipeline — rate-limited 5/user/hour (Upstash), sets `PROCESSING` immediately, emits `paper/uploaded`
`/api/projects/[id]/status`	GET	Intentionally lightweight polling endpoint: status, error, current stage, readiness score, stage list. Don't add heavy queries here.
`/api/projects/[id]/export`	POST	On-demand deck export (past REVIEW): render → R2 → `DeckExport`
`/api/onboarding`	POST	Onboarding completion
`/api/inngest`	*	Inngest function handler

Real-time: Pusher channel project-${projectId} carries stage-progress and failure events. All notification code no-ops gracefully if Pusher env vars are missing.

Project Structure

.
├── app/
│   ├── page.tsx, sections/          # Public marketing site
│   ├── app/                         # Protected workspace
│   │   ├── page.tsx                 #   Portfolio
│   │   ├── projects/                #   Project detail
│   │   ├── review/                  #   Human review stage
│   │   ├── exports/                 #   Deck downloads
│   │   └── settings/
│   ├── onboarding/                  # Post-signup onboarding flow
│   ├── sign-in/, sign-up/, sso-callback/
│   └── api/                         # Route handlers (see API Surface)
├── components/
│   ├── workspace/                   # project-workspace.tsx — main project view
│   ├── sections/, premium-page-shell/  # Marketing site
│   └── ui/                          # shadcn-style Radix primitives
├── lib/
│   ├── agents/                      # The agent pipeline (see above)
│   ├── deck-render/                 # Deterministic PDF/PPTX/DOCX export
│   ├── inngest.ts                   # analyzePaper — the pipeline orchestrator
│   ├── workspace-data.ts            # Frontend data fetching/shaping
│   ├── prisma.ts, r2.ts, rate-limit.ts, project-intake.ts
│   └── onboarding.ts, onboarding-config.ts
├── prisma/
│   └── schema.prisma                # Data model (one model per agent output)
├── scripts/
│   ├── test-agents.ts               # Run Agents 1+2 standalone against a real PDF
│   └── render-deck.ts               # Render a stored deck locally
├── middleware.ts                    # Clerk auth gate for /app/*
└── prisma.config.ts                 # Loads .env.local for Prisma CLI

Getting Started

Prerequisites

Node.js 20+
Accounts/keys for: Clerk, Neon, Cloudflare R2, Google AI Studio (Gemini), Tavily, Inngest, Upstash, and optionally Pusher

Setup

# 1. Install dependencies
npm install

# 2. Configure environment — create .env.local with:
#    Clerk:       NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY, CLERK_SECRET_KEY
#    Database:    DATABASE_URL                (Neon Postgres)
#    Storage:     R2 credentials              (Cloudflare R2)
#    LLM:         GEMINI_API_KEY
#    Search:      TAVILY_API_KEY
#    Jobs:        Inngest keys
#    Real-time:   Pusher keys                 (optional — no-ops if absent)
#    Rate limit:  Upstash Redis keys

# 3. Set up the database
npx prisma generate
npx prisma migrate dev

# 4. Run the dev server
npm run dev          # → http://localhost:3000

For local pipeline runs you'll also want the Inngest dev server (npx inngest-cli dev) pointed at /api/inngest.

Quick smoke test (no DB/Inngest/Next.js needed)

# Runs Agent 1 + Agent 2 standalone against a real PDF — needs only GEMINI_API_KEY
npx tsx scripts/test-agents.ts [pdf-url]

Development Commands

npm run dev          # Next.js dev server at http://localhost:3000
npm run build        # Production build (also type-checks)
npm run lint         # ESLint

npx vitest run                                  # All tests
npx vitest run lib/agents/validators.test.ts    # Single test file

npx prisma generate                     # Regenerate client after schema changes
npx prisma migrate dev --name <name>    # Create & apply a migration
npx prisma studio                       # Browse the database

npx tsx scripts/test-agents.ts [pdf-url]   # Agents 1+2 standalone
npx tsx scripts/render-deck.ts <projectId> # Render a stored deck to scripts/out/

Testing

Unit tests (Vitest): lib/agents/validators.test.ts (Zod schema/grounding validators), lib/agents/model-config.test.ts (model config + env overrides), lib/deck-render/currency.test.ts.
Fault injection: gemini-client.ts exposes setTransportForTesting / resetTransport so fallback behavior (429/503/timeout → fallback model) is testable without hitting the API.
Standalone agent runs: scripts/test-agents.ts exercises the real Gemini path end-to-end with only an API key.

Design Decisions & Notes

Direct Gemini REST calls instead of the SDK — the installed @google/generative-ai SDK predates Gemini 3 and won't forward thinking_level, so gemini-client.ts hits generateContent directly while keeping an SDK-compatible .response.text() return shape.
Per-agent model tiers — expensive reasoning (paper analysis, critique) gets Pro + high thinking; synthesis gets Flash; retrieval-adjacent work gets Flash-lite. All env-overridable, but only against verified-callable model strings (check the models.list REST endpoint before changing them).
Sequential, not parallel, agents — each agent consumes the validated output of the previous one; this is what makes the ref-menu grounding model possible.
/status stays cheap — the browser polls it; full data hydration goes through /api/projects/[id].
Agent 2 never sees the PDF — it scores from Agent 1's structured extraction, keeping the trust chain singular: only Agent 1 (and its critique) touch the source document.
Schemas in three places must stay in sync — when changing an agent's output shape, update lib/agents/types.ts, the Zod schema in validators.ts, and the corresponding Prisma model together.
Spec-kit artifacts in .specify/, .github/agents/, and .github/prompts/ are planning/workflow scaffolding, not application code. Additional research docs live in docs/.

Name		Name	Last commit message	Last commit date
.agents/skills/design-taste-frontend		.agents/skills/design-taste-frontend
.github		.github
.specify		.specify
.vscode		.vscode
app		app
assets		assets
components		components
docs		docs
lib		lib
prisma		prisma
public		public
scripts		scripts
.eslintrc.json		.eslintrc.json
.gitignore		.gitignore
CLAUDE.md		CLAUDE.md
NIPS-2017-attention-is-all-you-need-Paper.pdf		NIPS-2017-attention-is-all-you-need-Paper.pdf
README.md		README.md
components.json		components.json
lemma_architecture.pdf		lemma_architecture.pdf
middleware.ts		middleware.ts
next.config.mjs		next.config.mjs
package-lock.json		package-lock.json
package.json		package.json
postcss.config.mjs		postcss.config.mjs
prisma.config.ts		prisma.config.ts
skills-lock.json		skills-lock.json
tailwind.config.ts		tailwind.config.ts
tsconfig.json		tsconfig.json
vitest.config.ts		vitest.config.ts

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Lemma

🚀 Live now — uselemma.vercel.app — sign up and start evaluating papers.

Table of Contents

What Lemma Does

Tech Stack

High-Level Architecture

The Analysis Pipeline

Pipeline Flow

The Agents

Grounding & Anti-Hallucination Design

Failure Semantics

Deck Rendering & Export

Data Model

Authorization & Roles

API Surface

Project Structure

Getting Started

Prerequisites

Setup

Quick smoke test (no DB/Inngest/Next.js needed)

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Design Decisions & Notes

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Lemma

🚀 Live now — uselemma.vercel.app — sign up and start evaluating papers.

Table of Contents

What Lemma Does

Tech Stack

High-Level Architecture

The Analysis Pipeline

Pipeline Flow

The Agents

Grounding & Anti-Hallucination Design

Failure Semantics

Deck Rendering & Export

Data Model

Authorization & Roles

API Surface

Project Structure

Getting Started

Prerequisites

Setup

Quick smoke test (no DB/Inngest/Next.js needed)

Development Commands

Testing

Design Decisions & Notes

About

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