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.
Free guides
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Courses with a certificate
Structured courses with lessons, quizzes and hands-on labs, graded by a tutor and finished with a certificate you can share.
Inside Neomanex
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.
What you learn inside
Step 1
See how we turn a job into clear steps for AI and for people.
Step 2
Watch the AI do each step, and see exactly where a person decides.
The workflow we ship our own software with: 32 steps, 2 human decisions.
Step 3
See agents take work from start to finish, and what still needs a human.
Step 4
Workflows, agents and memory as one system. We build ours live, so you see every decision.
All along the way
Group sessions and Q&A with the team. Members meet and learn together in the live sessions.
Founding membership
Regular price $444Save 94%Sale price $27 / year
Plus VAT where it applies
Wait, and it costs $37 a month, billed yearly. This price ends when the founding seats are gone.
30-day refund. Cancel any time.
Curated weekly
What changed and what it changes for you. Triaged, not dumped.
MFYIModels ·
Microsoft-Decision-1 returns a calibrated probability for each fixed answer at $0.042 per 1M input tokens, output free, on Foundry and OpenRouter. Every benchmark is Microsoft's own; we have not tested it.
Read the full callFYIProduct Launches ·
Anthropic opened Claude Marketplace on 23 September 2026 with more than 2,000 connectors and plugins, and customers can spend part of their committed Anthropic spend on partner software such as Cursor, Harvey and Snowflake. On 25 September it opened plugin submissions to developers on paid Claude plans.
CFYISecurity ·
Anthropic said on 28 September 2026 that Claude Managed Agents can run inside NVIDIA OpenShell, an Apache-2.0 runtime that "blocks everything unless a rule allows it" and keeps real credentials away from the agent. It is a 0.1.x release with anonymous telemetry on by default, so pilot it before you rely on it.
ImportantModels ·
Google's Gemini API changelog for 8 October deprecates gemini-3.7-flash and gemini-3.5-flash and routes every request to them to gemini-3.8-flash and gemini-3.6-flash. The old ids still answer, but a different model replies. The deep-research-pro-preview-12-2025 agent shuts down today, 23 October 2026.
Verdict changedModels ·
Google now limits Gemini 2.5 model access to users who actively used them before and tells new projects to use 3.5 Flash-Lite or 3.8 Flash. We are moving Gemini 2.5 Pro from recommended to conditional: fine if you already run it, wrong for anything new.
FYICoding Tools ·
Ollama's pricing page lists Team at $500 a month (early access) with unlimited users and $1,000 of shared monthly usage credits, replacing the $25 per seat pricing we reported in August. Pro and Max state their allowance the same way: $60 and $300 of credits a month.
Verdicts
Our last three verdict changes, and the reason for each.
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 reasoningLaunched 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 reasoningOpen 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 reasoningChangelog
What changed and how it changes our recommendations, including what we filtered out.
This week's published stories share one lesson: an upgrade or a new default is not the same as protection. The MCP Python SDK fix protects nothing until you also pass issuer=, SpaceXAI will make Grok Voice Transcribe 2.0 the default with no date set, and Claude Code already serves Sonnet 5.5 as its default Sonnet on the Anthropic API, while thinking-off setups must move to between_tools first.
Blog
The reasoning behind the verdicts, long-form.
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
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
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
Never need to catch up again
The weekly delta: only verdict changes and act-now items. No digest filler.
Directory
Start here. Pick a task and we'll point you to the right resource.
Compare models from OpenAI, Anthropic, Google and more, side by side and re-checked every week.
Search our curated directory of AI tools filtered by use case, price, and integration.
Step-by-step guides to integrate AI into your existing processes.
Weekly changelog of model updates, new tools, and breaking changes.
Frameworks for assessing ROI, risks, and readiness before adopting AI tools.
Built by us
We built these because nothing else solved the problem.
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 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 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."