Rate Deliverables
as a Hiring Team
Hiring stakeholders can rate deliverables either anonymously or attributed with aggregate statistics.
- Collaborative Review Process
- Anonymous Feedback Options
- Data-Driven Decisions



Assess deliverables



Automatically collect, filter, preview and rate work samples —each linked to a replica in your own tools.

Assess actual contemporary talent. Not vibe, hearsay, or puffery.

response = client.messages.create(
model="claude-sonnet-4-20250514",
messages=[{
"role": "user",
"content": f"Summarize: {text}"
}]
)

class SummaryAgent:
def __init__(self, client):
self.client = client
self.system = "You are a concise summarizer."

from langchain_anthropic import ChatAnthropic
from langchain_core.prompts import ChatPromptTemplate
chain = (
ChatPromptTemplate
.from_template("Summarize: {text}")
| ChatAnthropic(
model="claude-sonnet-4-20250514"
)
)
Deep-anonymized multi-format work samples available for team review or AI ingestion.

3.9
4.1
4.9
4.4
Hiring stakeholders can rate deliverables either anonymously or attributed with aggregate statistics.
3.9
4.1
4.9
4.4
Write your own Deliverable Guidelines to assess human-grade work samples
Google Slides
Figma
Google Docs
Github
Figma
Dropbox
Notion
Google Docs
Bring your own vetted candidates or allow the public to join from your job pages
Let new applicants join your assessment starting at job pages.
Pudding can invite your existing candidates, via ATS or email.
Candidates verify with LinkedIn and Stripe, then submit work.
Hiring teams can score deliverables and accept/reject candidate entries.
Candidates submit deliverables from private projects in the tools they know.
Pudding AI checks deliverables for personally identifiable information, anonymizes change histories and scrubs metadata.
Hiring teams get collaboration-ready replica access instantly.

Give your candidates a chance to prove their skills while anonymized.
Position your company as a responsible hirer, and reward your candidates.
Learn from your candidates and prepare them for IP Assignment upon hire.




Modernize your assessment paradigm and up your game
in candidate engagement.


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