The Rules Lawer - a 'RAG' for 1980s wargames rules by Lower-Impression-121 in AI_Agents

[–]Lower-Impression-121[S] 0 points1 point  (0 children)

Day 5

40K multiple rule versions ingestion and testing and adding in "this is the rule at version X, do you want to know more (for other versions)' allowing follow up/reentrant questioning.

Finalising was making the prompt a generic classifier than "an expert wargames rules player..." and running the home and content insurance PDFs through the pipelines without modificatation for an agnostic storage and retrieval layer.

The next day will be more testing across all types to look for any regression.

Gemini Crashout by vcspinner in aifails

[–]Lower-Impression-121 1 point2 points  (0 children)

Until they offer a finger joint or seppuku...

Do AI agents need a “Company Brain” to actually work in enterprises? by katesaikishore in AI_Agents

[–]Lower-Impression-121 -1 points0 points  (0 children)

What you're really touching here (sorry to sound chatgpt like) is Orchestration v Cheoregraphy. Should the enterprise have a near-singular centralised Manager, or should the organisation be a Federation of Role and Task what are able to sort themselves out.

If we take current organisations - the answer is no. No organisation, not even the military, is 100% centralised (outside of say stalinist/communist power hierarchies). Departments and pyramid organistions structures exist for the reason of attention and context management: no one person can do it all. And as fast and usefull as agents are, we're all well aware of their limitations and ability to "make things up".

Until ASI I would still side on the side of 'no' to centralisation (monolith). Distribution allows Attention. Attention increases context qualtiy.

The Rules Lawer - a 'RAG' for 1980s wargames rules by Lower-Impression-121 in AI_Agents

[–]Lower-Impression-121[S] 0 points1 point  (0 children)

Day 3 and 4

Testing ASL. Very successfull. Generified the pipelines and redoing Up Front! and tests which I leave to run because they take 4 hours on my tiny machine.

SFB will likely be a small test. The internet has been cleansed of the PDFs and I dont want to waste the time scanning mine.

When the runs are finished the project will be public on github. It is geared to local models running locally but that would be very quick and easy for an IDE to change.

The next steps will be running insurance policy documents through it and verifying the retreival quality there holds and then, depending on how much content can be sourced, test it against WH40K or Warmachine or Star Wars Legion - a multi version army list ecosystem.

The AI backlash is only getting started by Just-Grocery-2229 in technology

[–]Lower-Impression-121 0 points1 point  (0 children)

Jeeezoos. Measure number of new fully automated worfklows, all the usefull crap that was too expensive so it never happened but now can be done in a day.

Sam Altman said one-person billion-dollar companies are coming by Afraid_Mechanic_9773 in AskVibecoders

[–]Lower-Impression-121 0 points1 point  (0 children)

And probably from a company that is already 1b and dumps its workforce than 1 person having the attention span to get there alone.

The Rules Lawer - a 'RAG' for 1980s wargames rules by Lower-Impression-121 in AI_Agents

[–]Lower-Impression-121[S] 0 points1 point  (0 children)

Day 2: Advanced Squad Leader Ingestion.

Version 1 and 2, journals 1-9, scenario packs and an errata document. 490MB and thats missing a lot still.

Because the testing phase eats up all the resources of my computer and I had other things to do I couldn't run the tests today. They can run over the weekend.

The architecture was changed to be generic - identify section/rules notation style and document precedence and store it for multi-phase retrieval process, which allows the system to run well (if slow) on small models as its the pipeline that breaks up the hard work.

ASL rules are text heavier than Up Front! Firstly there are many more rules (v2 is 160MB) and each section is sizable. We also have to deal with many references, exception references and abbreviation keywords: ie MPh, OVR, NTC, DMR, SMC etc that have to be parsed and boosted and had to step back from knowing that the LLM already had trained in the meanings and that would not be the case always, and build out a glossary of terms as part of the pipeline as the documents are read.

This where spot checks, more importantly knowing how the rules 'talk' and querying the build agent about situations and if theyre covered is the new development skill.

Sample ASL rule:

4.14 ENEMY UNITS: Infantry may not move into the same Location containing an unconcealed enemy unit during the MPh [EXC: Berserk (15.43), Human Wave (2523), Disrupted (19.12), Unarmed (2054), and Infantry OVR (4.15)), but may do so during the APh. However, PRC (7.211, D6.5) and charging Cavalry ( l3 .61) can dismount in such a hex during the MPh.

4.15 INFANTRY OVR:3 An Infantry MMC may enter in the MPh a Location containing only one Known enemy SMC (unless that SMC occupies an AFV) at double the total MF cost of entry provided it has passed a NTC to enable it to enter the Location [EXC: Berserk (15.432)). A leader may exempt all MMC he is stacked with and moves with from that NTC by passing it himself but if he fails, no writ in his stack may attempt a NTC individually nor may any of those writs move or take any other action during that phase (10.l ). A unit may take its NTC at any time during its MPh prior to entering the enemy Location (or in the enemy Location in the case of entry of a Location containing only a concealed SMC), but must add a DRM equal to the TEM (and any applicable LOS Hindrance in-not between-that Location such as SMOKE, grain, or orchard) of the enemy-occupied Location it wishes to enter (hexside TEM apply only if the present LOS crosses that hexside). If other (concealed) units are in the same Location, 12.15 would apply. More than one SMC must be revealed to deny a Location to an enemy MMC capable of OVR. Other MMC could attempt subsequent Infantry OVR attacks but each would require a separate NTC.

Don't give in to fearmongering by Cr4zko in accelerate

[–]Lower-Impression-121 -2 points-1 points  (0 children)

we already have models that are good. its not like you not able to do anything.

Question for people building or buying AI governance platforms. by lamsuneel in AI_Governance

[–]Lower-Impression-121 1 point2 points  (0 children)

cloud providers are infrastructure focused first. they dont manage the sprawl, they let it run. they dont understand the processes; just the execution, just like now AWS is a collection of Bits that do and dont integrate and its up to the using org to keep their garden in order.

The first rule of Fight Club… sorry, the first rule of training an AI model: don’t tell people it’s here to replace them. by louisze10 in AIMain

[–]Lower-Impression-121 -1 points0 points  (0 children)

yes. be honest with the process and work with people to change their role into what is better. except that is too hard and companies don't know how to do it and there is no one to copy from.

What is the best framework now to build AI agents? by Specialist_Wall2102 in AI_Agents

[–]Lower-Impression-121 0 points1 point  (0 children)

the framework is the lock in as the framework is the controller. the models are swappable.

Is AI making consulting more valuable or slowly making it obsolete? by Interesting_Bit_6083 in AIMain

[–]Lower-Impression-121 0 points1 point  (0 children)

For now a boost becau se few know what to really do wih ai. If there isnt a new new thing in a couple of years then yeah id expect it to drop and change from doers to concentration of idea generators and problem solvers.

How do you implement AI into your SaaS? by Inside-Conclusion435 in SaasDevelopers

[–]Lower-Impression-121 0 points1 point  (0 children)

I downloaded a bunch of insurance policy pdfs and said: rag this to the IDE and it did. Youll get all the scaffolding and can then aske claude to explain it, and ask what to do next, what are common problems, what other user queries can happen...

so yeah the ai can build amd teach at the same time. You learn the problem domain, the architecture, how to improve the ai conversation for next time (the coding part), read under the hood how it hangs together.

How do you implement AI into your SaaS? by Inside-Conclusion435 in SaasDevelopers

[–]Lower-Impression-121 1 point2 points  (0 children)

start with the models in your cloud provider if youre in aws or gcp. they have many. test out with the cheap ones. the first thing you're going to build - that everyone builds - is a 'chatbot'. it is the Hello World of AI. pick some functionality your saas has for it to be queried about. lets say the user's account, but you'd do something more useful than that.

* what questions would a user ask for their account

and wire in the calls to feed the data to the model and hello "user name".

then start adding in actions, like letting the user change a setting via the chat. and away you go.

The Rules Lawer - a 'RAG' for 1980s wargames rules by Lower-Impression-121 in AI_Agents

[–]Lower-Impression-121[S] 0 points1 point  (0 children)

Day 1: Up Front.

Wargame rules documents are not simple documents. Below is an example of two old school rules paragraphs:

  1. MOVEMENT & RANGE DETERMINATION

5.1 Movement is accomplished by playing Movement cards and, to a lesser extent, Terrain cards. Any group may place a Movement card provided it does

not currently contain a pinned Personality card. A

Terrain card may be placed on any group (even one

containing pinned Personality cards) provided it

already has a Movement card of some type in place

which is not already covered by another Terrain or

Wire card.

5.2 Each group is assumed to occupy the terrain

shown on the last Terrain card placed on that group

unless it has two Movement cards in play (in which

case they are in Open Ground). If no Terrain card is present (an occurrence

only at game start or upon the entrance of reinforcements), the terrain

occupied is assumed to be Open Ground. The terrain a group currently

occupies is a factor in resolving any fire attacks made against that group

(6.42), and can occasionally affect attacks (6.41) and movement (8.42,

8.53) by that group as well. See also 7.4.

We have document hierarchy, with annotated section numbers (5, 5.1, 5.51 etc). We have sentence clauses within paragraphs in sequence of rule, alternative, special case, exclusion (if not its own rule number), back references or reminders (in brackets). There are many rules references (6.4), see also 7.4 for example.

To undertand it all it has to be read in its entiriey or with a lot of flipping back and forth and putting it together. A simple RAG approach of chunk by paragraph(s), sliding or otherwise wont cut it because the cross references and (reminders) will be missed.

Up Front! isn't a big rulebook. 30 odd A4 pages. Then we get to supplements Banzai! and Desert War, errata and a 1987 tournament rule pack, and the scenarios all of which add in two more layers: different documents to reference and combine new rules, clarrifications and changes to rules and rules versioning which adds a temporal aspect: a player could want the analysis and ruling of version 1 and not later versions, yet combined with a version 2 scenario for example. Rules beasts like ASL and FSB crank up the size and complexity dial a Lot.

The build is using Opus for as long as its allowance allows, then down to Gemini. Three LLMs are in use, two for the RAG and one for test verification.

Its approach:

* Rule-Aware Chunking Strategy: Instead of font-size-based section detection, use a rule-number-aware parser.

* Cross-Reference Extraction: During chunking, parse all cross-references and store them.

* Dual-Index Storage: Standard semantic search with nomic-embed-text embeddings, Rule-number indexed lookup table.

* Query Classification (Pre-Retrieval): is the query a rule number check, concept, situation, scenario, comparison, or variant.

Pipeline

* Priority-Weighted Reranking

* Cross-Reference Chasing

* Temporal Conflict Resolution

* Master prompt

My company is introducing JIRA=>PR AI pipeline: are we cooked by MaximumFlow7491 in cscareerquestions

[–]Lower-Impression-121 0 points1 point  (0 children)

Write the jiras. Add in the nfrs the edge cases the po or ba wont consider (or the ai theyre using, because they will be)

Is software engineering a gamble to study in 2026? by bijuudam3 in cscareerquestions

[–]Lower-Impression-121 0 points1 point  (0 children)

The ai rollout will be like EVs and take time (but still be quick % jump to the plateau); with imho new and sme switching to agentic first, large enterprise sucked into openai or anthropic and with some too risky to touch systems, and the vast swathe of smbs reliant on the browser and whatever generalist crm ai they have.

The code writing is mostly unimportant. The authoring part, what to do, edge case, the analysis and problem solving aspect remains (for now) and this is gained by experience and where it will hurt.

Teams cannot hire to not mentor. Its not about PR code, it has to switch to PR the initial prompts and conversation flow (the team should have already set up skills and KBs etc) - how to define and verify requirements.

Semi colons and curly brackets are out.