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Halal LLM gate

We build a spot-only automation for coins screened against cited sources, where deterministic rules decide what is allowed and a language model can only adjust timing inside those rules. Every model decision is logged. Our public experiment tests this timing-only design on scheduled DCA purchases, as a planned 90-day paper-trading run starting 19 October 2026, and it has not produced a result yet. It is narrower than the CryptoOps language-model gate, which can approve, reject or shrink a proposed trade.

Screening status reflects the cited sources under the Conservative profile, not a fatwa or certification. Not investment advice.

• See the planned experiment about Halal LLM gate →

Autonomous issue-to-release workflow

We connect an agent workflow to the tracker your team already uses (GitHub, Linear, Jira, Huly, or any tool with an API or MCP server). It reads your issues, implements each one on its own branch with tests, has a separate agent review it, and raises the pull request. You choose the release mode: a person approves before CI/CD deploys, or it deploys to staging on its own and your team decides after UAT or QA whether to go live or revert. Our public experiment shows the same pattern, autonomous and human-in-the-loop, on a different task.

• See the experiment behind this about Autonomous issue-to-release workflow →

Token savings

We cut the token cost of your team’s model traffic with context compression on the steps that carry large tool output, and with gateway-level prompt caching and routing. Before rollout, a paired A/B trial on your real workload measures cost, token and output-quality changes.

• Read the one-time A/B trial of Headroom about Token savings →
• See the live OmniRoute experiment, with a Headroom baseline about Token savings →

AI SEO Ops

AI SEO Ops audits whether search engines, AI answer engines and shopping agents can find, understand, cite and act on your site, then gives you a prioritised plan to fix what it finds. Findings are verified with your own Search Console and Bing data when you connect them, and WordPress and WooCommerce sites get read-only monitoring.

• Read about AI SEO Ops about AI SEO Ops →

SignalOpsome

SignalOpsome runs lead generation and cold outreach for founder-led software and automation consultancies as a supervised pipeline: research, compliant copy, your approval, replies and meetings, while your team keeps delivering.

• Read about SignalOpsome about SignalOpsome →

CryptoOps

Own your data. CryptoOps sets up a halal-first, spot-only crypto operations stack on infrastructure you control, so your holdings, trade history and screening records stay with you. During the pilot, setups run in paper trading only. It is tooling for running your own setup, not investment advice.

Not investment advice. Not a fatwa or certification: screening status reflects the cited sources under a named profile. Paper trading uses simulated money, and trading crypto can lose money.

• Read about CryptoOps about CryptoOps →

InboxOpsome

InboxOpsome builds sender reputation for new domains and mailboxes before you send anything that matters. It runs on your own machine or VPS, with no warmup SaaS: mail flows only through the SMTP and inbound providers you choose.

• Read about InboxOpsome about InboxOpsome →

ContentOpsome

ContentOpsome researches a topic once, builds a sourced claim list, and is designed to turn it into a blog post, video, newsletter and social posts for the channels that fit, with accuracy and consent checks before anything is published. Video scripts are what it produces today.

• Read about ContentOpsome about ContentOpsome →

GrowthOps

GrowthOps turns ad-performance exports from Meta, Google, Taboola and TikTok into one action queue: pause, scale, investigate or fix, each with its evidence, confidence and risk. Nothing executes without your approval.

• Read about GrowthOps about GrowthOps →