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AI Catalyst C3·Core Session - Week 13·1:06:00

Office Hours XIII: Ponytail, Ten Hermes Instances, a Web-MCP Verification Layer, and CodeRabbit

Harshit Host - housekeeping, feedback on Cody's builds, the CodeRabbit answer, wrap · Praful Participant - the Hermes/VPS power user (runs the AIC Mastermind community); long segment on multi-persona Hermes, Tailscale + computer-use, repo vetting · Cody Participant - demos his Web-MCP hackathon project (video-vs-paper verification) and an Android-TV voice agent driven by Hermes · Palak Participant - announces her first paying customer and demos rolecompass.ai

The short version

  1. Community tooling of the week: PONYTAIL - a repo (~122k installs) that distils a codebase to the lines a coding agent actually needs before it runs, cutting context bloat in Claude Code / Codex. Harshit later pairs it with GitHub Actions as a free stand-in for CodeRabbit.
  2. Praful's Hermes practice: separate Hermes personas per job (design via Open Design, app-building via Ponytail + Nango, personal, and a VPS-access persona using Tailscale + computer-use), ~10 instances in parallel without exhausting tokens, two instances on one VPS in Docker, Fable 5.1 reserved for heavy research, and repo-vetting skills before any GitHub install. 'I created about 20 websites in three hours.'
  3. Cody's Web-MCP hackathon build (a Microsoft/Google/OpenAI-sponsored event, ~3 of 7 days, 28 hours of Codex): the web indexes text but ignores video, even when a talk supersedes the paper it cites - his tool cross-checks a video's claims against the linked source. Vision: an 'elastic web' where agents get pre-validated actions, not human UI - lower latency, better GEO.
  4. The smart-TV agent: Hermes controlling an Android TV through a Cloudflare Worker bridge, voice in via Wispr Flow on the phone, blocked by on-screen keyboards (vision model next); region-split speech - Sarvam for Indian accents, Deepgram/Grok for Western - because each fails on the other. Hermes' 'fallback' is a model router, not a mid-turn splitter.
  5. 'Is there an app that checks for orphan code when a build is done?' - CodeRabbit AI ('I use that tool a lot'; buses in SF, offices in Bangalore), or DIY: Ponytail + GitHub Actions. Palak's rolecompass.ai (400+ roles x ~10 layers incl. a 12-week plan, 7-day refund) landed its first paying customer in Hyderabad.

At a glance, three clicks deep

Skim here first: the closed row is the glance, open is the study card with the key points and timestamps, and the ↓ link drops to that concept's full write-up below.

01Ponytail: shrink the code before the agent reads itPonytail = code-condensing pre-processor for coding agents;0:12:00

Ponytail = code-condensing pre-processor for coding agents; also usable in GitHub Actions as a DIY reviewer.

Distils large codebases to essential lines before execution (0:12)

~122k installs; weeks of positive use (0:13)

Installs into Claude Code / Codex environments (0:12)

Ponytail + GitHub Actions as a free code reviewer (1:03)

↓ Full write-up of this concept

02Ten Hermes instances: personas per job, Tailscale + computer-use, vet every repoSegment agents by role, run many in parallel on a VPS (Docker), reach the box via Tailscale or computer-use…0:14:00

Segment agents by role, run many in parallel on a VPS (Docker), reach the box via Tailscale or computer-use, reserve the strongest model for research, vet repos before install.

Personas: design, app-build, personal, VPS-access (0:14-0:15)

Tailscale (visible) vs computer-use (headless) for remote control (0:15)

~10 instances in parallel; ~20 sites in 3 hours (0:17)

Two Hermes instances on one VPS via Docker (0:57)

Fable 5.1 for deep research; repo-vetting skills before installs (0:17, 0:20)

↓ Full write-up of this concept

03Cody's Web-MCP build: verifying video against the paper it supersedesA verification layer that reconciles video claims with their text sources;0:30:00

A verification layer that reconciles video claims with their text sources; part of an 'elastic web' where agents navigate validated actions rather than human pages.

Text indexed, video ignored - even when video supersedes the paper (0:31-0:36)

Hackathon: MS/Google/OpenAI-sponsored; ~3 days; 28 h of Codex (0:32, 0:39)

Roadmap: verification -> ranking -> client/server split (0:38-0:42)

Feedback: PostHog-style dashboard + Hermes via ACP; token-firewall app drawer (0:42-0:44)

↓ Full write-up of this concept

04Agentic web and GEO: expose actions to agents instead of pages to peopleAgent-optimized sites expose callable, validated actions (Web-MCP) so agents skip the UI;0:35:00

Agent-optimized sites expose callable, validated actions (Web-MCP) so agents skip the UI; lower latency and higher agent-discoverability (GEO).

Expose direct agent-callable actions instead of human UI (0:40-0:41)

GEO as the agent-era analogue of SEO (0:37)

An agency service opportunity without mature tooling yet (0:37)

↓ Full write-up of this concept

05Hermes on the TV: Cloudflare bridge, on-screen keyboards, and accent-split speech APIsHermes -> Cloudflare Worker -> Android TV;0:45:00

Hermes -> Cloudflare Worker -> Android TV; voice via Wispr Flow; accent-routed STT/TTS; fallback = router between turns.

Android TV only; Cloudflare Worker HTTPS bridge; Wispr Flow input (0:48-0:50)

Blocked by keyboard navigation; vision model planned (0:47)

Sarvam (Indian) vs Deepgram/Grok (Western) accents (0:51-0:52)

Gemini STT mixed results; Harshit's multilingual test positive (0:53-0:55)

Hermes fallback = model router, not mid-instance splitting (0:55-0:56)

↓ Full write-up of this concept

06Catching orphan code after a vibe-coded build: CodeRabbit or Ponytail + ActionsCodeRabbit AI for automated PR/code review;1:01:00

CodeRabbit AI for automated PR/code review; DIY = Ponytail + GitHub Actions.

CodeRabbit AI as the primary recommendation (1:02)

Marketing presence cited as scale evidence (1:02-1:03)

Free path: Ponytail + GitHub Actions (1:03)

↓ Full write-up of this concept

The concepts in full

01

Ponytail: shrink the code before the agent reads it

0:12:00

Most of what a coding agent reads it never needs. Ponytail throws that away first.

A GitHub repo installed into Claude Code / Codex-style environments that distils large code to the essential, executed lines before the agent works with it - 'it removes unnecessary code.' Reported ~122k installs and 'really good' over a few weeks of use. Harshit's second use for it: run Ponytail inside GitHub Actions on each push and you 'have your very own code reviewer tool', a free alternative to CodeRabbit for catching orphan or unfinished code.

Why it matters

Context bloat is the token drain Paul's Catalyst Session 13 anatomizes; this is a community tool aimed squarely at it.

02

Ten Hermes instances: personas per job, Tailscale + computer-use, vet every repo

0:14:00

One agent for design, one for apps, one for you, one that can reach the server - and none of them run out of tokens.

Praful runs Hermes personas by project: website design (Open Design rather than Claude Design), app-building (Ponytail plus a referral/integration tool heard as Nango), a personal group, and a VPS-access group pairing Tailscale (visible remote) with computer-use (headless) - two mutually exclusive ways in. Claims: ~10 instances concurrently 'never ran out of the tokens'; ~20 client proposal sites in three hours; two Hermes instances on one VPS via Docker, dismissing 'VPS is restrictive' warnings - 'always a way in which you can get what you want to do.' Fable 5.1 is reserved for calculation-heavy research. Before any GitHub repo is installed, repo-safety skills (as-heard Skill Dart / sh skills; also Bumblebee, 'beads') vet it; Skill Router and Nvidia's Skillscape are name-checked. A 'Grokboard' (as-heard) session was planned for Sept 11.

Why it matters

Direct continuation of the second-brain architecture from OH XII - here as one member's daily practice rather than a design.

03

Cody's Web-MCP build: verifying video against the paper it supersedes

0:30:00

The paper says one thing. The author's talk two years later says another. Every scraper reads only the paper.

'The web is treating the text file very separately and the video files are not' - agents and indexes ingest text and ignore video, though video now carries updates that supersede published papers. Cody's hackathon entry (Microsoft/Google/OpenAI-sponsored Web-MCP hackathon, built with a partner in ~3 of 7 days, ~28 hours of Codex 'emptying buckets everywhere') cross-references a video's claims against its linked source and flags which is current - a knowledge-integrity layer, with an interactive constellation UI. Roadmap: verification (done), ranking (next), then client/server architecture; open to community input because 'nothing is out there yet.' Harshit's feedback: pair it with a PostHog-style dashboard of Web-MCP usage wired to Hermes over ACP; Cody's counter - an app-drawer 'focus' UI that archives inactive projects as a token firewall.

Why it matters

The same agent-readable-web idea Cody floated in OH XII, now a working prototype.

04

Agentic web and GEO: expose actions to agents instead of pages to people

0:35:00

An agent fetching your bank statement should never have to click through your menu.

Design sites so an agent can call intent directly - an MCP-style endpoint with pre-validated actions and the 'top 3 most likely actions' surfaced first - rather than parsing human UI, 'which is impossible for it.' Effect: 'latency would go down by a lot and the GEO... would increase automatically' - GEO as generative/agent engine optimization by analogy with SEO. Harshit frames it as a service AI/SEO agencies could sell but mostly lack tooling for.

Why it matters

This is the AEO/GEO thread from Catalyst Session 23 pushed one step further - from being cited by agents to being operated by them.

05

Hermes on the TV: Cloudflare bridge, on-screen keyboards, and accent-split speech APIs

0:45:00

'Sarvam is struggling with American accent and Deepgram is struggling with Indian accent' - so he routes by who is talking.

Cody's Hermes agent controls his Android TV (Android required - Samsung and a couple of brands excluded) via a small dashboard on a Cloudflare Worker bridging HTTPS to the TV, with Wispr Flow on the phone for voice input. Basic commands work; the on-screen keyboard grids 'are all these walls' - a vision model to let the agent see the screen is next. Plan: extend to every same-Wi-Fi device (home assistant, CCTV) and split speech by region - Sarvam for Indian accents, Deepgram or Grok for Western. Google STT/Gemini did not interlace across his devices; Harshit reports smooth multilingual results (Hindi, Marathi, Gujarati, English, Bengali) from a recent Gemini-based test. Clarified: Hermes' fallback mechanism is a model router - to use one model for STT/TTS and another for tool calls you send discrete turns, not a mid-turn split.

Why it matters

A concrete example of the on-device voice-agent thread from OH XII and the accent problem any multi-market voice product hits.

06

Catching orphan code after a vibe-coded build: CodeRabbit or Ponytail + Actions

1:01:00

The build works. Somewhere in it are functions nothing calls and lines nobody finished. Something has to read the whole thing.

To the chat question about tools that check a finished build for orphan or unfinished code, Harshit names CodeRabbit AI - 'I use that tool a lot' - citing its bus ads in San Francisco and Bangalore offices as traction signals. Free alternative: the Ponytail repo running in GitHub Actions as a homegrown reviewer pipeline. Aside: Sarah's screenshot-level bug report on his newsletter's email rendering was thanked as the fix that lifted his open rate.

Why it matters

Paul ships Lovable/Supabase builds; an automated reviewer on push is the cheapest QA gate available.

Tools referenced

ToolCoverageMomentContext
Ponytailexplained0:12Code-condensing repo for coding agents; DIY reviewer with Actions
Hermesexplained0:14Multi-persona VPS agent practice; TV control
CodeRabbitexplained1:02Automated code review recommendation
Cloudflare Workersexplained0:49HTTPS bridge to the Android TV
Tailscalementioned0:15Remote VPS access
Codexmentioned0:3228-hour hackathon build; slow
GitHub Actionsmentioned1:03Runs Ponytail as a reviewer
Wispr Flowmentioned0:50Voice input on phone for TV agent
Sarvammentioned0:51Indian-accent speech API
Deepgrammentioned0:51Western-accent speech API
PostHogmentioned0:42Analytics dashboard analogy for Web-MCP usage
shadcnmentioned0:43UI components reference
interior.devmentioned0:45Open-source UI tool used for newsletter dashboard
Claude Fablementioned0:17Fable 5.1 reserved for heavy research tasks

Session materials

Archived locally on V: — click to open. Companion pages link to the LMS.

Action items

    Resources mentioned

    Resources
    • docCommunity launches and shares

    Extraction notes

    This page was built from an auto-generated transcript, which garbles product and people's names. Those were corrected silently in everything above and logged here for transparency. The warnings flag claims that were true on the recording day but change fast.

    Transcript corrections applied

    The transcript saysThe trainer actually means
    armys / her ms / armiesHermes
    Grog board / grogbotGrokboard (as-heard) - Grok-related tool
    Google STDGoogle STT
    ServumSarvam
    DeepSeqDeepSeek
    shade CNshadcn
    Kodi / CodiCody
    Lonnie / Taraone participant, name unresolved
    Hicksville contestunresolved contest name (AIC Filmmaking)
    WhisperFlowWispr Flow

    True on recording day — verify before relying