Tenex research

Tenex source archive

Capture date: 2026-10-09. The archive contains 34 public sources. Original response files remain separate from this report. HTML captures exclude external scripts, images, fonts, and embedded media. A response hash confirms archive integrity. It does not confirm the source claim.

The manifest records URLs, redirects, authors, dates, access status, review scope, and file hashes. The search log records discovery paths and unresolved gaps. The report explains the system and assesses the evidence.

Review limits

We reviewed the main written articles that support the report. We reviewed selected sections of S13–S18 for methods and attribution. Their embedded episodes remain unreviewed. S21 contains a publisher account under a Transcript label. We did not review the complete audio or video. S23 and S24 contain application shells, not job descriptions. Their HTTP 200 status does not establish complete capture. S30 redirects to a current Claude webinar page. Its captured text does not name Tenex. S31–S33 provide public skill evidence. We did not install or execute the skill. The main branch URLs can change. The saved files and hashes preserve the inspected versions.

Source index

Article titles below preserve the original source text. A dash in the date column means that we did not establish a publication date.

ID Source and author Publication date Saved files
S01 Tenex · Company — Original · Text · Headers
S02 AI Transformation · Company — Original · Text · Headers
S03 AI Engineering · Company — Original · Text · Headers
S04 Who We Are · Company — Original · Text · Headers
S05 Blog — Tenex thinking on AI transformation · Company — Original · Text · Headers
S06 Playbooks · Company — Original · Text · Headers
S07 Building an AI-Native SDLC · Alex Lieberman, Dan Zakon, CJ Hess, Arman Hezarkhani 2026-08-05 Original · Text · Headers
S08 Does Your AI Agent Actually Work? A Guide to Eval-Driven Development · Jake Klaristenfeld 2026-10-02 Original · Text · Headers
S09 How to Build a Claude Skill by Letting Claude Interview You · Anthony Dupont-Cinko / Tenex 2026-09-02 Original · Text · Headers
S10 The Citizen SDLC · Alex Lieberman, Suchi Patel, Ashwin Kadaru, Arman Hezarkhani 2026-07-16 Original · Text · Headers
S11 How to Build and Execute an AI Strategy That Actually Works · Alex Lieberman and Arman Hezarkhani — Original · Text · Headers
S12 How to Monitor Customer Health as You Scale: 3 AI Agents That Set You Up for Success · Alex Lieberman and Arman Hezarkhani — Original · Text · Headers
S13 How to Set Up CLAUDE.md Files So Claude Knows You, Your Clients, and Your Decisions · Tenex playbook featuring JJ Englert — Original · Text · Headers
S14 Due Diligence: Your First Agent Eval · Tenex playbook with Alex Lieberman and Vivek Trivedy — Original · Text · Headers
S15 Claude Code for Non-Engineers: The Complete Beginner's Guide · Arman Hezarkhani and Alex Lieberman — Original · Text · Headers
S16 The Production Evals Cookbook: How to Test and Evaluate LLM Agents for Reliability · Tenex playbook featuring Ash Tilawat / Gauntlet AI — Original · Text · Headers
S17 Build an AI Agent That Replaces 90% of Your Sales Team · Tenex playbook featuring Drew Bredvick / Vercel — Original · Text · Headers
S18 AI for PMs: Skip the PRD, Ship a Prototype, and Get Unlimited Buy In · Tenex playbook featuring Alex Berger / Bolt — Original · Text · Headers
S19 Tenex · Alex Lieberman — Original · Text · Headers
S20 How to Win Deals in the Age of AI · Alex Lieberman 2025-08-20 Original · Text · Headers
S21 ⚡️ 10x AI Engineers with $1m Salaries — Alex Lieberman & Arman Hezarkhani, Tenex · Latent Space interviews the founders 2025-11-19 Original · Text · Headers
S22 Careers · Company — Original · Text · Headers
S23 Forward Deployed Engineer @ Tenex · Company — Original · Text · Headers
S24 AI Strategist @ Tenex · Company — Original · Text · Headers
S25 Nine Systems That Break Before an AI Agent Goes Live · Alex Lieberman 2026-10-05 Original · Text · Headers
S26 Six Steps to Turn a Business Goal Into an AI Pilot · Alex Lieberman 2026-09-20 Original · Text · Headers
S27 What I've Learned Building in AI · Alex Lieberman 2025-11-07 Original · Text · Headers
S28 Announcing Our Partnership with Vercel · Alex Lieberman 2025-11-15 Original · Text · Headers
S29 The Tech Stack Behind My Businesses · Alex Lieberman 2025-07-30 Original · Text · Headers
S30 Claude for Life Sciences: Accelerating discovery from hypothesis to breakthrough · Anthropic — Original · Text · Headers
S31 GitHub - TenexTony/tribal-knowledge: A Claude skill that surfaces undocumented institutional knowledge from your company's record — every claim linked to its source. · GitHub · TenexTony / Anthony Dupont-Cinko — Original · Text · Headers
S32 Tribal knowledge skill definition · TenexTony / Anthony Dupont-Cinko — Original · Headers
S33 Tribal knowledge trace patterns · TenexTony / Anthony Dupont-Cinko — Original · Headers
S34 How to Run a Five-Day AI Agent Sprint for Your Enterprise · Alex Lieberman 2026-10-08 Original · Text · Headers

Attribution and claim checks

S16 describes a Gauntlet AI method. S17 describes Vercel results. S18 describes a Bolt method. Those pages do not establish Tenex customer returns. S13 describes JJ Englert’s context method. It does not establish the exact MetaHarness architecture. S28 is a founder partnership announcement. We did not find a separate Vercel confirmation in this search. S29 lists tools across the founder’s businesses. It is not a current Tenex architecture specification.

Reuse and capture files

The catalogs preserve the selected URLs. The capture helper saves public responses and hashes. To repeat a capture, use a new folder and preserve the prior manifest. The current manifest includes researcher annotations after the initial capture. Original response bodies and headers retain their recorded hashes.