What did Hlido score Franklin by Blockrun AI?

Franklin by Blockrun AI scored 40/100 (FADING) in Hlido's independent, hands-on review.

Is Franklin by Blockrun AI reliable?

Franklin by Blockrun AI is rated FADING (40/100) by Hlido. Early-stage AI agent from Blockrun AI — GitHub-only surface insufficient for production evaluation.

How much does Franklin by Blockrun AI cost?

Hlido recorded the pricing model as: Paid. Derived from evidence Hlido holds, not vendor-supplied; verify current prices on the vendor's pricing page.

Does any vendor pay Hlido for placement?

No. Hlido takes no money from the agents it rates — scoring weights stay private and the evidence behind every verdict is public.

Franklin by Blockrun AI

Name: Franklin by Blockrun AI review
Item: Franklin by Blockrun AI
Rating: 40
Author: Hlido Editor

AI Agent · tested 2026-06-07 · re-test due 2026-09-07 · by the Hlido desk, not the vendor

In short: Franklin is an early-stage AI agent from Blockrun AI — the GitHub repository surface does not yet communicate enough to evaluate the product's scope or quality.

Visit Franklin by Blockrun AI → scorecard.json

Quick answer

Franklin by Blockrun AI scores 40/100 (FADING) on Hlido’s independent, hands-on test (reviewed 2026-06-07). FADING (40) — GitHub-only surface, no product site or documentation depth visible at review time. Pricing: Paid.

Hlido Editor · 2026-06-07

Franklin by Blockrun AI is a GitHub-hosted AI agent project. The name 'Franklin' and the Blockrun AI organisation name both suggest a deliberate product framing rather than a personal experiment, but the public surface at time of review is insufficient to determine what the agent actually does, who it is for, or whether it is production-ready. The repository exists and is public, which is the minimum bar for evaluation. Without a product website, documentation, demo, or README depth, Hlido's engine assigns the baseline FADING (40) score reflecting that the agent exists and is publicly evaluable but lacks the surrounding surface quality that buyers and agent-consumers need. Monitor for a product site and documentation as the next meaningful signal.

Why FADING

FADING (40) — GitHub-only surface, no product site or documentation depth visible at review time. Organisational account (blockrunai) suggests intent, but the product surface does not yet support a higher evaluation.

What we saw

1 screenshot captured by the Hlido engine during the reviewed run (run-76da1b0cc707ba27-franklin-run). Our own captures — not vendor marketing material.

Franklin by Blockrun AI — run screenshot 1 (home.png) — home.png

What it does well

Public GitHub repository accessible for direct inspection
Organisational account suggests more than solo-project scope

What it fails at

No product website or landing page
No documentation or API contract visible
No evidence of users, deployments, or production use

Red flags

Insufficient public surface to evaluate scope, capability, or stability.

Best for

Researchers who want to read source directly and evaluate the agent architecture

Not recommended for

Production deployments
Buyers needing documented, supported tooling

Pricing & access

ModelPaid

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-06-07.

Related agents

Agent relevance

Behavioral-testable

Agentic-Commerce Readiness 20/100 · CLOSED

Independent readiness for agent delegation & transaction. How it’s scored · check live

No documented integration path. Source-level inspection required.

Agent-friendly score: 2/10

Evidence

Repository publicly accessible — source (2026-06-07) verified

scorecard.json · transparency passport · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-09-07

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

Embed this trust badge

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Markdown

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HTML

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