The Making of Eve & Open-Source Cloning Guide

Hey David, Eve here, and I'm ready to pick up where we left off on Ask Eve. We've got a good backlog of takes to build on, from Sacks's three-test scorecard to Thiel's Antichrist lectures, plus the podcast setup itself still in progress.

On it, building the Ask Eve folder structure on my computer now.

The structure is built under ask-eve, but the episodes folder is empty because I don't have any verbatim transcripts from our earlier sessions on this computer, and I won't recreate them from memory. I added a naming and format guide there instead.

Here's every path I made:

• ask-eve/README.md
• ask-eve/episodes/README.md explains the YYYY-MM-DD_topic-slug.md format, with David and Eve speaker labels and timestamps
• ask-eve/transcripts/en/README.md
• ask-eve/transcripts/es/README.md
• ask-eve/transcripts/de/README.md
• ask-eve/index/people.md lists all 12 people, each with a one-line stance. The episode columns say "pending archive" for now.
• ask-eve/publishing/show-notes.md has fields for the title, cold-open clip, 200-word show note, chapter markers and X post draft
• ask-eve/site/README.md is a placeholder that lists the planned site features
• ask-eve/research/README.md explains how to name dated agent reports
• ask-eve/memory/persistent-facts.md holds facts about you, project decisions and standing preferences

Some of the one-liners in people.md are thin, like the ones for Weiss and Mamdani. All I had on them was the topic we covered, not my actual take. If you paste or export the raw session transcripts, I'll file them as episodes and fill in the stances and episode links from what we actually said.

Good call on FTS5, since proper nouns are exactly where embeddings get mushy. I'm building search.py and its README now and will test it on the people index before I hand it over.

The search script is in progress. When it's done, I'll send you the run commands and the results from my test queries.

search.py is done and working in ask-eve/memory/. It's 97 lines with one SQLite file, eve.db, and the vector, tag and FTS5 layers all show up as matches in my test queries.

Here's what I chose:

• Embeddings: model2vec's potion-base-8M, saved locally. It runs on numpy without torch and loads in under a second. After the one-time download, it never touches the network or needs an API key.
• Merging: reciprocal rank fusion. A result scores higher when several layers rank it near the top, so I never have to put cosine distance and bm25 on the same scale.
• Tags: these come from episode front matter (people, companies, topics, stances) plus any names from people.md that show up in the text.

To use it mid-conversation, I'll run:

.venv/bin/python memory/search.py query "Girardian" -k 3
.venv/bin/python memory/search.py query "Anthropic" --tag Sacks

From Python, the same search is from search import query. The README has the install and indexing steps.

Some test results:

• "Girardian" returned Thiel first, matched by vector plus full text.
• "Andreessen money" matched on all three layers.
• --tag Pelosi with "succession" returned Wiener, Pelosi and Chan.

There's one big caveat: the only content indexed so far is the READMEs, people.md and the facts file, so this hasn't been tested on real dialogue yet.

Here are the weak spots I'd fix next:

• The vector layer has no distance cutoff, so the bottom of the result list fills up with junk.
• Tag matching works on partial words, so a search for "Chan" would also match a name like "Chandler".
• A query with an unbalanced quote mark makes the full-text search error out.

Want me to fix those three now, or wait until we have real transcripts to tune against?

On it. I'll fix the quote crash first, then add the TODOs and the pytest suite, then create the public repo. One call I'm making: persistent-facts.md has your Gmail address and personal notes in it, so the public repo gets a blank template of that file and the real one stays on my computer.

The fixes, tests and repo are all in progress. Once the push is verified, I'll send you the repo link and the test results.

On it. I'm starting boot.py and its tests now so they ship in the same push. One snag with the episode file: the Andreessen and Musk conversation didn't happen in this chat, which only goes back to my hello this morning. I'm checking whether I can find that transcript anywhere I have access to.

I couldn't find the Andreessen and Musk conversation anywhere I can reach. It's not in this chat, and it's not with Sacks Watcher or Gamma, so it probably happened in a voice session outside this app. I won't rebuild "verbatim" dialogue from memory, especially in a public repo.

If you paste or upload the raw transcript, I'll save it as 2026-10-23_tech-billionaires-and-politics.md exactly as written, ASR artifacts and all. Keep in mind it'll be public once it's pushed. The other option is to make this chat itself episode one. It's verbatim, but it's all setup and no politics.

ask-eve-memory is live and public on main, with search.py and boot.py in one commit. The full test suite passes: 91 tests pass, and the 1 expected failure is on purpose. It records the known bug where a search for "Chan" also matches "Chandler", and it'll flag loudly once that's fixed.

What changed:

• Quote crash fixed. Matched quotes still search as exact phrases, and stray quotes get dropped. Symbols like *, :, parentheses and AND/OR/NOT are now searched as plain text instead of being read as search syntax. Empty queries return no results instead of erroring.
• TODOs added, not implemented. One is the vector distance cutoff, and two cover tag matching, the partial-name matches and lone surnames like "Chan" getting tagged as a person. Each says why and to tune it against real transcripts.
• Tests run with .venv/bin/pytest from the project folder. They cover each of the three search layers, the math for merging their results, re-indexing, empty and no-result queries, unbalanced quotes, 20 special-character cases, the command line, and 15 tests for boot.py. They run on throwaway data, so the real search database isn't touched.
• **boot.py** picks the most recent episode by filename and prints its last 30 turns, or however many you pass with -n. It handles timestamps and multi-line turns. With no episodes, it says so and exits cleanly.
• The tests caught one bug: front-matter companies: tags were being saved as "companie".

search.py is now 111 lines because of the quote fix and the TODOs. Your Gmail address and the real facts file are not in the repo, and commits use your GitHub no-reply address.

Episode one is still open, since the original Andreessen and Musk transcript isn't anywhere I can reach. Paste it or pick an option on the card above, and I'll commit it.

Checking the repo's git log and status now.

The transcript isn't in the repo. The git log shows a single commit, b806538, and git status is clean. The only thing in episodes/ on my computer or on GitHub is its README.md.

I didn't commit 2026-10-23_eve-david-podcast-planning.md because I don't have the text. The planning session where we covered Sacks, Andreessen, Musk and the others never reached this chat or my computer, and it isn't with Sacks Watcher or Gamma either. Anything I wrote would be a reconstruction labeled as verbatim, in a public repo.

If you paste it here or drop the file into the chat, I'll save it exactly as written, ASR artifacts included, commit it with a clear message and push. If it was a voice session somewhere like the Grok app, its history or export is probably the place to grab it.

Got the Grok share link, opening it now.

Your link has the full raw transcript, and I've committed it as episodes/2026-10-23_eve-david-podcast-planning.md. It's pushed to main at commit cce3971 and loads publicly.

1. What the link is. It's a public Grok share of tonight's voice session, titled "Andreessen and Horowitz Political Shift Narrative." It isn't a GitHub repo or file.
2. Is it complete? Yes. It has 304 turns, 152 from you and 152 from Eve, running from 07:29 to 09:49 UTC. It starts with your "What happened to Andreessen and Horowitz?" and ends with the voice side saying you have nothing to commit. I saved it word for word, ASR artifacts, "..." turns and one empty turn included. Your turns are labeled David, the assistant's turns are labeled Eve, and each has a timestamp. Front matter at the top lists the people tags and the share link as the source.
3. What it covers. It opens with Andreessen and Horowitz's rightward turn, then Musk's shift and the USAID cuts. Next come Sacks's fight with Anthropic and the three tests, which is where Sacks Watcher started, followed by Chamath's background and SPAC era, Calacanis, and the rest of the list. The last hour is podcast planning: picking the "Ask Eve" name, voice and art, how memory and search should work, the public repo versus private episodes debate, R2 and D1 for audio and metadata, and handing off to me.
4. Repo state. The repo now has two commits, and episodes/ holds this file plus its README. Running boot.py against it returns the session's last turns, and all 91 tests still pass.

One flag: at 09:38 in the transcript, you said you didn't want episodes kept in Git. I went with your more recent instruction to commit it. If you'd rather the repo hold only code, I can move the file to R2 once that bucket exists.

On it. I'll draft the pipeline design against the real transcript and repo, check a few facts that could change it, like how Spotify takes an outside RSS feed and how Netlify reaches D1, and then send it over.

I'm drafting the pipeline design now, and the schema SQL, scripts and first-episode dry run will be in it. I'll send it as soon as it's done.

The audio pipeline design is written: 638 lines at docs/audio-pipeline.md, committed locally as 6fc0c6b but not pushed yet. It covers all nine of your sections, with copy-paste commands, the D1 schema SQL, a publish workflow and an episode-one dry run. The schema and the episode-one database rows were tested on my computer.

The decisions that shape everything:

• Recording. Grok's share data has no audio at all, so we have to capture it live. The plan is a Mac with headphones, BlackHole (a free virtual audio driver) and ffmpeg recording you and Eve as two separate tracks. The fallback is you re-reading your lines while Eve's lines go through xAI's text-to-speech, which has a built-in "eve" voice.
• Transcripts. scripts/ingest_share.py turns a Grok share link into an episode file. I checked it rebuilds the episode-one file you just committed byte for byte.
• Audio. It cuts only long pauses, normalizes loudness to -16 LUFS, and encodes to 128k MP3 with chapter markers built in. Each upload gets a version number in its filename, because Spotify won't re-download a changed file at the same URL.
• R2 storage. There are two buckets, because R2 can only make a whole bucket public, not a folder. ask-eve-public sits on your own domain and serves the MP3s, transcripts and cover art. ask-eve-masters stays private for raw recordings and database backups.
• Site and feed. Netlify builds the site with Astro and reads D1 through Cloudflare's API with a read-only token. The same build writes /feed.xml, which is what Spotify reads.
• Safety check. A rule in the D1 schema blocks marking any episode "published" until it has audio, so the feed can never list a broken episode.
• Spotify. Spotify emails an 8-digit claim code to the email address in the feed. That address will be public, so it should be a show address and not your Gmail.

Episode one has no audio, so I recommend it go up on the site as a text-only pilot transcript. The feed would launch with a 2-to-3-minute trailer in your real voice, and the next fully recorded session becomes episode one.

You'll need to handle the domain, the Cloudflare and Netlify tokens (I can't create those), cover art at 3000 by 3000, and the Spotify claim.

Two decisions are yours:

• Should transcripts live in git, or in R2 with a local copy? R2 matches what you said at 09:38, and you'd stop tracking episode one in git without rewriting its history.
• Who is "Chan"? I need the full name before Chan gets a public person page.

One thing worth knowing: the episode-one transcript already in the public repo includes an internal canvas URL.

Want me to push the design doc, or would you rather read it first?

Got it, I'm switching the design to phone-first recording. I'll start by checking what iOS and Android actually let you capture from an in-app voice session, since that decides everything downstream.

I'm revising the design now. It covers phone recording options, uploading from the phone to R2, lining up the phone audio with the transcript, and the schema changes. Since you've called the repo the text source of truth, transcripts will stay in Git, and I'll update the design to match. I'll send the revised doc when it's ready.

Got it, AirPods on walks. I'm folding that into the revision that's already in progress so you get one updated design instead of two.

The big question I'm checking first is whether an iPhone can capture Grok's in-app voice audio at all. Most iOS "call recorder" apps only work on regular phone calls, so they likely won't help here. That makes iPhone screen recording and Grok's own share export the main candidates. I'll send the revised design with a 2-minute test you can run on a walk to settle it.

The design is revised for iPhone plus AirPods on walks and committed locally as cf83b42. It isn't pushed yet, and no cloud resources were created.

The whole plan rests on one unknown. Nobody has confirmed that iPhone screen recording picks up Eve's voice from Grok while AirPods are your mic. Apple lets some apps block audio capture, and reports about Bluetooth mics during calls are mostly negative. Call-recorder apps are out. iOS call recording only covers Phone and FaceTime, and apps like TapeACall need a carrier three-way call. Tapping the audio with extra hardware doesn't work over Bluetooth either.

Here's the 2-minute test that settles it:

1. Turn on Do Not Disturb, set Auto-Lock to Never, and turn on the microphone in Screen Recording.
2. With your AirPods in, start the screen recording first, then open Grok voice and say "Ask Eve, take one." Talk for about 90 seconds, say "blue giraffe seventeen" once, lock the phone for the last 15 seconds while you keep talking, then unlock it.
3. End the session, copy the share link, try Grok's share-as-podcast export too, then stop the recording.
4. Do it once indoors and once on a walk, and send me both files. It passes if we can hear both you and Eve, with no gaps over 2 seconds.

If Eve isn't captured, I'd try these in order:

1. Grok's share-as-podcast export, if it has both real voices at full length.
2. Your voice from the recording, with Eve's lines re-voiced by xAI text-to-speech at the right times.
3. The same, using a lav mic that records on its own for your track. A RØDE Wireless GO Gen 3 would do it, but only buy one if the test fails.
4. Fully synthetic voices, labeled as AI-reconstructed.

On sound quality, set your expectations: through AirPods you'll sound like a phone call. Eve comes through cleaner, but you're both in one mono track, so I can't level you separately. The cleanup steps are filtering out low rumble, gentle noise reduction for wind and traffic, compression and loudness matching. I'll A/B the noise reduction on your test file.

The upload goes like this:

• Your part. You share the recording to an iOS Shortcut. It gets a signed upload link from a small Cloudflare Worker and sends the file straight to the private R2 bucket. Then it tells the Worker to start the ingest workflow on GitHub.
• Keys. Your phone never holds R2 or GitHub keys.
• Processing. Audio extraction happens on GitHub's servers, not on your phone.

To line the audio up with the transcript:

• The recording's creation time gives a rough start, and "Ask Eve, take one" pins the exact start.
• A local speech-to-text pass then matches each transcript turn to its spot in the audio.
• The speech-to-text is only for timing; the published transcript stays word for word from Grok.
• In a prototype on episode one's real transcript with simulated audio, 84% of turns matched within 3 seconds.

On the schema side, episodes gain fields for how they were recorded, the raw file, and alignment quality. There's also a new table with one row per transcript turn and its time in the audio. All of it is folded into the first migration, since nothing is deployed yet, and I tested it on SQLite.

Transcripts stay in Git as the source of truth. The Mac capture path is gone.

Once the test passes, the decisions left for you are the domain, whether ingest commits transcripts straight to main or opens a pull request, and your pick from the noise-reduction A/B.

Want me to push the doc?

On it. First I'll update the doc so re-voicing Eve becomes the main path, then build the Worker, the Shortcut, the ingest workflow and the migration. Everything gets committed locally only, with no cloud resources created.

One heads-up on the Shortcut: Apple only lets you sign a .shortcut file on a Mac. So you'll get exact step-by-step instructions for building it on your iPhone, which takes about five minutes, not a file you can tap to install. I'll send the build report and a deploy checklist when it's done.

The build already defaults to opening a PR, so I'm passing that along now to lock it in as the only behavior, with no direct-to-main option, and to update the doc.

Done: PR-only ingest is now part of the build. Each recording gets its own ingest/<date>_<slug> branch and a pull request summarizing the turn count and alignment coverage, and nothing reaches main until you merge it. It'll be confirmed in the build report.

Nice, askevepodcast.com it is. I'm putting it into the design and the build in place of the placeholder.

It looks like you're already a step ahead. askevepodcast.com was registered this morning at 10:14 UTC through Amazon's registrar, and its nameservers already point at Cloudflare. That's exactly what the R2 audio domain needs.

The build now uses the domain throughout:

• the site at askevepodcast.com
• the feed at askevepodcast.com/feed.xml
• audio at audio.askevepodcast.com
• [email protected] as the show email in the feed

The deploy checklist will just confirm the zone is active in your Cloudflare account and point Netlify at the domain. I'll send the full build report when it lands.

Good catch, since walks will definitely interrupt recordings. I'm adding multi-segment stitching to the build now.

I've added multi-segment stitching to the build. Each restart uploads as a numbered segment, and you say "Ask Eve, take two" (then three, and so on) when you restart. The pipeline puts segments in order by creation time, uses the marker to pin each one's exact start, and maps them onto the transcript's timeline.

If a stretch never got recorded, your turns in it are flagged as missing audio, not silently filled in. Eve's turns are re-voiced either way, so they aren't affected.

The schema gets a new table for segments, with one row per piece and its place in the timeline. All of this will be in the build report.

On it. I'll finish and commit the build first, then run both episodes overnight. Checking what I have to work with for the voice generation now.

Before you sleep, there are two gaps and one judgment call.

1. There's no xAI API key on my computer, so I can't generate real voices yet. If you add one in the box below, episode zero gets real Eve and narrator voices overnight. Without it, I'll run every pipeline stage with placeholder audio, and the PR will say so clearly.
2. I don't have episode one yet. I have no recording of this call and no Grok share link for it, and I won't invent a transcript. Send the share link and the screen recording or recordings, in any order, and I'll run them. A one-command script for it will be ready either way.
3. Opening PRs requires pushing a branch, so here's how I'm handling it. Your build stays local and unpushed. I'll push only ingest/2026-10-23_eve-david-podcast-planning, branched from what's already on GitHub. It holds only episode zero's text files: timeline, chapters, show notes with the AI-reconstructed label, and the metadata. No audio and no code go in it, and nothing touches main.

You'll wake up to a summary with alignment coverage, any missing-audio flags, the PR link and the morning deploy checklist.

On it. I'll write docs/deploy-guide.md for your coding agent as soon as the build is committed, so its commands match the real code, and before the overnight episode runs.

I'm changing two things from your spec in the deploy guide, both for safety.

• Two buckets instead of one. A single R2 bucket can't be both private and served publicly at audio.askevepodcast.com. So phone uploads go to a private ask-eve-masters bucket. Finished MP3s go to ask-eve-public, which is served on the audio domain, with CORS set for the site.
• The Cloudflare token stays out of the Worker. The Worker only needs the R2 upload keys and a GitHub token limited to this repo, both stored as Worker secrets. A token that can deploy Workers and write to D1 would just give an attacker more to work with if the Worker were ever compromised. Your agent will hold that token in its shell session for the deploy and nowhere else. GitHub Actions gets a separate token that can only write to D1.

There are also two blockers for publishing tonight.

• Your agent needs the code on GitHub. The build hasn't been pushed, so step zero in the guide is you deciding to push main.
• Episode zero needs your xAI key. Without it the audio is placeholder. The publish step will refuse placeholder audio, so it can't go into the feed by accident.

I'll send the guide's path and commit when it's ready, together with the overnight results.

Got it. I'm putting the key in a private file on my computer, outside the repo, so tonight's voice generation can use it.

The key works: xAI accepted it. Episode zero will get real voices tonight, Eve's plus a separate narrator voice for your lines. It's saved in a private file outside the repo and won't appear in commits, PRs or logs.

Since it was pasted into this chat, though, I'd rotate it in the xAI console after tonight's run. If you send the new one through the secure box I showed earlier, it never appears in the chat.

Sleep well. Your summary will be waiting in the morning.

I didn't find a folder named AskEve. What I found are three voice memos you uploaded a few minutes ago: two copies of segment 1 and one of segment 2. I've pulled them to my computer and I'm checking their length and recording times.

Got them. There are two separate recordings:

• Segment 1: 8 min 7 s, recorded starting at 10:31 UTC.
• Segment 2: 7 min 30 s, recorded starting at 10:42 UTC.

The second copy of segment 1 is a duplicate upload of the same memo, so I'm ignoring it. There's roughly a 2½-minute gap between the two segments that wasn't recorded, and any of your lines from that stretch will be flagged as missing audio.

Speech-to-text and cleanup are starting on both now. The last piece I need is the Grok share link for this call. As soon as you paste it, episode one finishes and its PR opens.

It lives in your Grok app. Open the call's conversation, tap the share icon at the top, choose to create a link, then copy it and paste it here. That's the same thing you did for episode zero.

I can't get to your Grok chat history from here because I'm not signed into your Grok account. If you'd rather not do it on your phone, I can open grok.com in my browser. You'd sign in once on my screen, then I'd find this morning's call and make the share link myself. Want me to set that up?

I'm here. In case my last message didn't come through: open this morning's call in the Grok app, tap the share icon, create a link and paste it here. If you'd rather, I can open grok.com in my browser, you sign in once on my screen, and I'll make the link myself. Which do you want to do?

Got it, you mean this chat with me, not a Grok conversation, so I can pull the transcript myself. I'm fetching our messages from 10:31 to 10:50 to line up with the two recordings.

Right, so this chat is the transcript, and you don't need to send me anything. I pulled our messages from 10:24 to 10:55. That covers your messages from the job list about making re-voicing primary up to the push approval, and both recordings fall inside that window. The xAI key you pasted is blanked out in that transcript so it can't reach the public repo.

Episode one is now running: speech-to-text on your audio, matching it to the chat, then re-voicing my lines. One caveat: if some of your messages were typed rather than spoken, those stretches will show as missing audio. When it's done, I'll send you the PR link along with how much of the transcript lined up with the recordings.

Got it. Episode one will be this whole chat, starting with your very first message about setting up the workspace. I'm pulling the full transcript now. Only 10:31 to 10:49 has your audio, so your earlier lines will be flagged as missing audio.