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Neomanex is a learning platform that teaches professionals and teams to work with AI agents through hands-on courses and guides, backed by a verified directory of AI tools and models.

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Guide

Intermediate · 8 min

What Is Graph Engineering? An 8-Line CLAUDE.md
Graph engineering is designing an AI agent system as a graph: nodes do the work, edges decide what runs next, and state travels between them. Our take: the graph replaces the instructions file, so a CLAUDE.md can shrink to 8 lines while the process and the rules live in workflows and standards.

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Guide

Intermediate · 13 min

Playwright MCP Acceptance Testing: Agents Run the Journeys
Agent-driven acceptance testing is a verification loop where an AI agent drives each user journey in a real browser and reports pass or fail against frozen acceptance criteria. We run acceptance testing with Playwright MCP on ConvOps: the agent that tests never fixes, and a failure goes back to the build until the whole run passes again.

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Guide

Intermediate · 27 min

Build a Self-Improving AI System: Workflows, Memory, Gates
A self-improving AI system is a repository of standards, a memory store and gated workflows that turn each finished job's lessons into rules the next job reads. It learns in six layers, from memory to a pipeline that reviews the whole system. We run ours on ConvOps.

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Courses with a certificate

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Structured courses with lessons, quizzes and hands-on labs, graded by a tutor and finished with a certificate you can share.

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Inside Neomanex

See how an AI company really works, from the inside

Watch our AI agents and our team at work every week. Learn how real AI workflows run, use them in your own work, and become the AI operator companies are hiring.

ForVibe codersFoundersYour career in AIAhead from day one.

What you learn inside

  1. Step 1

    How a workflow is designed

    See how we turn a job into clear steps for AI and for people.

  2. Step 2

    How it runs

    Watch the AI do each step, and see exactly where a person decides.

    Ship a new featureDevelopment
    Running
    1. Writes down what to buildAI
    2. Approves the scopePerson
    3. Plans how to build itAI
    4. Checks the plan for gapsAI
    5. Builds it in phases, agents in parallelAI
    6. Tests it the way a user wouldAI
    7. Approves the finished workPerson
    7/7Shipped

    The workflow we ship our own software with: 32 steps, 2 human decisions.

  3. Step 3

    How it runs on its own

    See agents take work from start to finish, and what still needs a human.

  4. Step 4

    How it all fits together

    Workflows, agents and memory as one system. We build ours live, so you see every decision.

  5. All along the way

    Help at every step

    Group sessions and Q&A with the team. Members meet and learn together in the live sessions.

    • The Ops Room live every Thursday
    • Ask the team any day
    • A Live Build once a month

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Curated weekly

This week in AI

What changed and what it changes for you. Triaged, not dumped.

Edition of Tuesday, October 13, 2026Catch me up

Claude Opus 5 logoImportantModels ·

Anthropic Opens Life Sciences Verification in Beta: Looser Bio Safeguards on Opus 5, Sonnet 5 and Mythos 5.1 for Verified Teams

Since 17 September, verified life-sciences teams on the Claude API, Enterprise or Team plans can apply to Anthropic's Life Sciences Verification Program to relax the biology safeguards that block legitimate research. Standard Use launched on Mythos 5.1, Opus 5 and Sonnet 5 and now lists Opus 5.5; High-risk Use covers Opus 5 and Sonnet 5, while Mythos stays limited to a small vetted set.

Read the full call

Verdicts

What changed our minds

Our last three verdict changes, and the reason for each.

All issues
GPT-6 Astra logo

GPT-6 Astra

Week 36
PendingConditional

GPT-6 Astra shipped September 3 at $10/$50 per 1M tokens on short context with a 1.05M-token window, ending the paused-and-unpriced state the pending rating rested on. Announced September 4 by gpt-6-astra-launch-pricing-benchmarks. Conditional, not recommended: OpenAI's own comparison table places it third on general intelligence.

Full reasoning
Grok 4.6 logo

Grok 4.6

Week 33
PendingConditional

Launched Aug 12 at $2/$6 with a 61 AA Intelligence Index (ties GPT-5.6 Sol, trails only Fable 5 Max) and leading GDPVal-AA. A day-one launch with a single independent evaluator, so conditional rather than recommended.

Full reasoning
Qwen3.8-27B logo

Qwen3.8-27B

Week 33
PendingConditional

Open weights shipped Aug 14 under Apache 2.0 with 262K native context and single-GPU deployment; vendor-claimed coding/agent gains await independent reproduction.

Full reasoning

Changelog

The week, in one issue

What changed and how it changes our recommendations, including what we filtered out.

All issues
Issue 27Week 41 · Oct 5–11, 2026

Claude Haiku 5.5 Ships From $0.10/$0.50 per 1M Tokens

Every new model this week entered our directory as a conditional pick for the same reason: the numbers that sell it are the vendor's own. Claude Haiku 5.5 is now Anthropic's cheapest current model, Mistral Large 4 is a priced public preview whose weights are still a promise, and Kolibri-1 ships Apache 2.0 weights that need about 78 GB of GPU memory.

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Past weeksWeek 41Week 40Week 39Week 38Week 37Week 36Week 33Week 32Week 31Week 30Week 29Week 28All issues

Blog

From the blog

The reasoning behind the verdicts, long-form.

All posts
10 min

Typeform Alternatives That Are Not Just Cheaper Typeforms

Eight Typeform alternatives sorted by the reason you are leaving, not by vendor preference. Verified pricing, standing verdicts, and the response cap that sends most people looking.

Sep 7, 2026

11 min

AI Intake Software Compared: What the Term Means and What to Buy

Search AI intake software and you get two unrelated markets in one result page. Here is the split, the four things AI can actually do to intake, and verified pricing on the tools that do it.

Sep 7, 2026

12 min

Best Conversational Form Builders in 2026: 9 Tools With Verdicts

Nine conversational form builders, each carrying a standing verdict from our directory. Verified pricing, the three products hiding behind one label, and which one wins each job.

Sep 7, 2026

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Built by us

Our tools

We built these because nothing else solved the problem.

Gnosari logo

Gnosari

Gnosari is a conversational data collection platform: it replaces forms with conversations. Feedback, details, contacts, anything you need to gather, you say what you want to collect and the agent drives the conversation.

"We built it because forms lose most of the people who reach a page."

ConvOps logo

ConvOps

ConvOps is the workflow engine for autonomous AI systems: describe a process once from the AI client you already use, and your agents run it as a governed workflow, step by step, run after run.

"We built it to run Neomanex itself."

NeoReader logo

NeoReader

NeoReader is a web-to-markdown API with discovery built in: point it at a URL or a whole site and get back clean, LLM-ready markdown, tuned end to end for high-throughput ingestion.

"We built it because feeding raw web pages to a model wastes tokens and drags in boilerplate."