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Project Telos
Checkable AI work, with receipts for every step
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Upvotes6

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Comments3

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Hunted by

Zain Dana Harper

Project Telos is a line of engines for the new era of working alongside AI: an accountable surface where you perceive what the model does, shape it together, and prove every step from outside the thing making the claim. Five flagships, each standing on its own. By Zain Dana Harper.

Top comment

Upvotes6

▲ 6View on ProductHunt ⧉

Comments3

3 commentsSee comments on PH ⧉

I built Project Telos because model self-reports are not enough for real work. The line is built around checkable state: witnessed intake, rerunnable workspace maps, multi-agent ledgers, measured judgment, and a shared human-AI surface. The honest stage: solo, independent, pre-revenue, and pre-proof on the largest thesis. I am looking for verification and testing against real workflows, technical pushback, early traction from people willing to inspect the receipts, and possibly modest grassroots research funding. Main site: https://harperz9.github.io GitHub: https://github.com/HarperZ9 Flagship repos: https://github.com/HarperZ9/gather, https://github.com/HarperZ9/index, https://github.com/HarperZ9/forum, https://github.com/HarperZ9/cruc..., https://github.com/HarperZ9/telos

Comment highlights

If you want to test it today, the shortest path is the field guide: https://harperz9.github.io/field-guide.html
I would especially value testing in five concrete environments:
1. Doctor/admin handoff: can a messy intake become a witnessed digest that a reviewer can re-check instead of trusting the model summary?
2. Artist/studio: can a person and model work the same artifact while keeping seed, source, and export receipts visible?
3. Media/newsroom: can a public claim or asset carry a re-checkable trail instead of just a confidence score?
4. Token economy/routing: can an agent route work using a compact map instead of rereading the whole workspace every turn?
5. Reasoning: can a judgment loop say MATCH / DRIFT / UNVERIFIABLE, then refine the weakest axis without pretending certainty?
Main site: https://harperz9.github.io
GitHub: https://github.com/HarperZ9
Flagship repos: https://github.com/HarperZ9/gather · https://github.com/HarperZ9/index · https://github.com/HarperZ9/forum · https://github.com/HarperZ9/crucible · https://github.com/HarperZ9/telos
I am looking for verification, testing, traction from real users, and possibly modest grassroots research funding or pointers.

I added a field guide for testing Project Telos on real workflows:
https://harperz9.github.io/field-guide.html
The guide names five first test environments: doctor/admin, artist/studio, media/newsroom, token economy/routing, and reasoning. The ask is not applause. I am looking for people willing to verify the tools, run them against real workflows, find where the receipts break, create early traction, and point toward modest grassroots research funding if the work should keep moving.
Public repos:
gather - https://github.com/HarperZ9/gather
index - https://github.com/HarperZ9/index
forum - https://github.com/HarperZ9/forum
crucible - https://github.com/HarperZ9/crucible
telos engine - https://github.com/HarperZ9/telos

About Project Telos on Product Hunt

“Checkable AI work, with receipts for every step”

Project Telos was submitted on Product Hunt and earned 6 upvotes and 3 comments, placing #58 on the daily leaderboard. Project Telos is a line of engines for the new era of working alongside AI: an accountable surface where you perceive what the model does, shape it together, and prove every step from outside the thing making the claim. Five flagships, each standing on its own. By Zain Dana Harper.

Project Telos was featured in Developer Tools (515.4k followers) on Product Hunt. Together, these topics include over 75.1k products, making this a competitive space to launch in.

Who hunted Project Telos?

Project Telos was hunted by Zain Dana Harper. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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