From a first experiment to everyday work. See how others use basal — and add your idea to the story.
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/// I can provide pictures if you want; feel free to edit or remove the text as you see fit. AN EXPERIMENT IN SIMULATING SOCIAL BEHAVIOUR WITH A LOCAL AI MODEL Can a small language model simulate the behaviour of thousands of p…
I listed all the Home Assistant entities and their settings for basal, and it can turn my lights on within one second.
OmniMES is our own MES system for production execution and monitoring factory machines. Operators report breakdowns and downtime in short notes. Cause codes are sometimes inaccurate or missing, reducing the quality of OEE data an…
We read current ESPI disclosures from companies listed on the Warsaw Stock Exchange and wanted to find out whether they could be described automatically well enough to measure the stock-price reaction. We do not need summaries, b…
I built an AI backend integrating Basal 1.5B with a home document archive in Paperless-ngx. From OCR text, Basal proposes tags, a correspondent, a document type and a storage location, choosing from existing values supplied by Pa…
We run three companies on SAP Business One. Every bank-statement entry must be assigned to an invoice, but payment references can be incomplete: no invoice number, an abbreviated company name, or several invoices for the same amo…
For eight months, I have been building what companies around the world have now started building: memphis, an open-source agent runtime for Polish users, installed on their own hardware. github.com/memphis-chains/memphis I am ad…
Deqio is an open-source local runtime and API for specialised System One decision models. Basal is one of the project’s natively supported engines. Deqio lets you install, run and switch models through one shared API, without ty…
Traditional large language models are too slow for immediate trading decisions. The system needs to react instantly to dynamic market situations, such as the risk of chasing a top or catching a falling knife, without waiting for …
We have a large collection of texts about the architecture of power in the post-communist bloc. We use an application to navigate interviews and workshop summaries, where LLMs work well. We are expanding this knowledge with a ve…
In my Data Science team, we assess articles from more than a dozen news and advice websites. We do not generate text; we need decisions: which category a text belongs to, whether it is news, whether it has a political slant, and …
I am developing a private Energy Desk: an analytical environment for the energy market, connected to MetaTrader 5. It combines broker data, price and volume analysis, volume profiles, CVD, context across multiple timeframes, and …
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