ibl.ai Agentic AI Blog

Insights on building and deploying agentic AI systems. Our blog covers AI agent architectures, LLM infrastructure, MCP servers, enterprise deployment strategies, and real-world implementation guides. Whether you are a developer building AI agents, a CTO evaluating agentic platforms, or a technical leader driving AI adoption, you will find practical guidance here.

Topics We Cover

Featured Research and Reports

We analyze key research from leading institutions and labs including Google DeepMind, Anthropic, OpenAI, Meta AI, McKinsey, and the World Economic Forum. Our content includes detailed analysis of reports on AI agents, foundation models, and enterprise AI strategy.

For Technical Leaders

CTOs, engineering leads, and AI architects turn to our blog for guidance on agent orchestration, model evaluation, infrastructure planning, and building production-ready AI systems. We provide frameworks for responsible AI deployment that balance capability with safety and reliability.

Blog

Insights on agentic AI, from agent architectures and LLM infrastructure to enterprise deployment and developer tooling. Our team shares practical guides on building AI agents, optimizing model pipelines, and scaling AI systems in production.

Written for CTOs, developers, AI engineers, and technical leaders who are building or deploying agentic AI. Each article includes actionable takeaways grounded in real-world implementation.

Our editorial team publishes new content weekly, drawing on deployment data from 400+ organizations and 1.6M+ users. Every piece is reviewed by practitioners with hands-on experience building AI platforms.

Showing 73-96 of 982 posts

Premium

Open Weights Took 62% of the Tokens and Under 9% of the Spend

Vercel's AI Gateway put open-weight models at 62% of token volume in late August, up from 11% in April β€” while closed models still took roughly two-thirds of the spend. That split is not a contradiction, it is what a correctly routed AI estate looks like, and it is only available if switching models is a config change.

open weight modelsvercel ai gatewaymodel routing
ibl.aiβ€’7 min read
August 28, 2026
Premium

Thomson Reuters Spent $40M. The Training Run Cost $450K.

Thomson Reuters built its own legal and tax model on Alibaba's open-weight Qwen 3.5, trained on Westlaw and Practical Law content. The widely quoted numbers are $40M over two years and a $450K final training run β€” and the gap between them is the actual lesson, because 99% of the cost was not the compute.

thomson reutersthomson modellegal ai
ibl.aiβ€’6 min read
August 28, 2026
Premium

The Chat Window Breaks at Five Agents. CanvasTTY Shows What's Next.

CanvasTTY arranges live terminals and AI-agent CLI sessions on an infinite canvas instead of in tabs, and zooms out to readable summaries rather than tiny noise. It is a developer tool, but it demonstrates the interface problem every organization running concurrent agents is about to hit: a linear transcript cannot show you five things at once.

ai agentsagent interfacespatial computing
ibl.aiβ€’6 min read
August 27, 2026
Premium

When Avatar Video Is MIT-Licensed, Governance Is the Product

Meituan's LongCat-Video-Avatar 1.5 turns one portrait and an audio track into stable talking video under an MIT licence. Once generation is free and self-hostable, the scarce thing is no longer the model β€” it is a defensible record of whose likeness was used, who approved it, and what was produced.

ai videoavatar generationlongcat video avatar
ibl.aiβ€’7 min read
August 27, 2026
Premium

Three Deployment Paths, One Codebase: Where Lock-In Actually Starts

ibl.ai documented three deployment paths for apps built on the platform β€” platform-hosted, your own container, or the App Store and Google Play β€” from a single codebase, all MIT-licensed and public. The reason this matters is that the number of exits a platform gives you is the most honest measure of lock-in available before you commit.

ai app deploymentself-hosted containersapp store deployment
ibl.aiβ€’7 min read
August 27, 2026
Premium

99% Plan to Deploy AI Agents. 9% Have. The Gap Is Not the AI.

A August 2026 survey found 99% of companies plan to put AI agents into production and only 9-14% have fully done so. The blocker is rarely model capability β€” it is that an agent needs a machine-readable account of how work actually happens, and most organizations have never written one down.

ai agentsagentic aienterprise ai
ibl.aiβ€’7 min read
August 27, 2026
Premium

Revolut Built Its Own Foundation Model. Most Banks Can't.

Revolut launched a dedicated AI research lab on 25 August 2026 built around PRAGMA, a foundation model pre-trained on its own banking event sequences. It is the clearest signal yet that leading financial institutions are becoming AI companies rather than buying AI tools β€” and a useful reminder that the thing making it work is proprietary data plus an owned stack, not the model architecture.

financial services aifoundation modelrevolut pragma
ibl.aiβ€’6 min read
August 27, 2026
Premium

GLM-5.3-Flash: Why a 4.44x Smaller KV Cache Changes Self-Hosting

Zhipu confirmed the anonymous 'Ox Alpha' model was GLM-5.3-Flash and released the weights: 320B total, 18B active, tying Claude Opus 4.8 on the Artificial Analysis index. The headline is the benchmark, but the number that matters for anyone self-hosting is the 4.44x KV-cache reduction β€” because KV cache, not parameter count, is what caps concurrent users per GPU.

glm-5.3-flashzhipuopen weights
ibl.aiβ€’7 min read
August 27, 2026
Premium

Healthcare AI Should Start in the Billing Office, Not the Exam Room

Roughly 65% of denied healthcare claims are never appealed, while 54% of the ones that are get overturned. That gap is the highest-ROI AI deployment in healthcare, and it sits in the revenue cycle rather than at the point of care β€” but only if the PHI architecture survives a security review.

healthcare airevenue cycle managementprior authorization
ibl.aiβ€’7 min read
August 27, 2026
Premium

What the UK-Ukraine AI Declaration Actually Says About Sovereignty

The UK and Ukraine signed an AI partnership on 24 August 2026. It is a non-binding declaration about sharing battlefield data, not a sovereignty mandate β€” and reading it accurately matters more for government AI buyers than the headline does. What the document commits to, what it does not, and what India's DRONA 2.0 shows about sovereignty that is already operational.

sovereign aigovernment aidefense ai
ibl.aiβ€’7 min read
August 27, 2026
Premium

Self-Hosted LLM Providers: Ollama vs vLLM vs TGI vs LocalAI

A practical guide to the self-hosted LLM serving stack β€” Ollama, vLLM, llama.cpp, Hugging Face TGI, LocalAI, and Open WebUI β€” what each one is actually for, the hardware each needs, and what you still do not own once the runtime is running.

self-hosted llmollamavllm
ibl.aiβ€’8 min read
August 27, 2026
Premium

Alibaba's ANOLISA Moves Agent Infrastructure Into the Operating System

Alibaba Cloud open-sourced ANOLISA, an agent-first Linux distribution that treats context compression, sandboxing and agent observability as operating-system services rather than application features. Here is what it actually ships, what the OS layer can and cannot own, and why the pattern favors organizations that own their stack.

agent infrastructureagentic AIopen source AI
Miguel Amigotβ€’6 min read
August 25, 2026
Premium

The Agent-First Campus: Why Universities Are Buying an AI Operating System, Not Chatbots

Universities that moved past chatbots are not deploying a better chatbot β€” they are deploying a network of purpose-built agents wired into the SIS, LMS and CRM. The decision that determines whether it lasts is not which agents you build but whether you own the platform underneath them.

higher education AIagentic AIAI operating system
Jaione Amigotβ€’6 min read
August 25, 2026
Premium

Longer Reasoning Can Make Models Worse β€” What That Means for Legal AI Routing

A multi-institution study found that extending a reasoning model's thinking time can reduce accuracy, with five distinct failure modes. For legal teams the consequence is concrete: brief drafting and contract extraction need different models, and paying for maximum reasoning on both is worse than routing.

legal AImodel routinginverse scaling
Blanca Amigotβ€’6 min read
August 24, 2026
Premium

Most Healthcare AI Pilots Never Reach Production β€” It Is an Architecture Problem

Roughly four in five healthcare AI pilots never reach production, and the cause is rarely the model. What separates the survivors is architecture: structured outputs, deterministic fallbacks, domain-specific evaluation and audit-complete observability β€” none of which a demo needs and all of which production requires.

healthcare AIhealth insurersHIPAA
Jaione Amigotβ€’6 min read
August 24, 2026
Premium

OpenViking's Real Number Isn't 91%. It's AGPL-3.0.

ByteDance's OpenViking cuts agent token use by 34–91% and is at 32,900 GitHub stars. It is also AGPL-3.0, which is the fact enterprise architects need first β€” and the one every summary of the release leaves out.

openvikingbytedanceagent memory
Miguel Amigotβ€’6 min read
August 24, 2026
Premium

Agent Skill Catalogs Are a Supply Chain. Who Signs Yours?

Enterprise teams have stopped asking how to deploy an agent and started asking who is allowed to publish a skill. NVIDIA's verified skill pipeline treats agent capabilities as signed software artifacts β€” which makes the catalog a supply chain, and raises the question of who holds the signing key.

agent skillsskill catalog governanceAI supply chain security
Mikel Amigotβ€’8 min read
August 24, 2026
Premium

Sovereign AI Is Now Procurement Policy, Not Rhetoric

France's Ministry of the Armed Forces signed a framework agreement with Mistral in January 2026, and Nigeria's National Digital Cloud Policy scopes sovereignty to government and regulated data. Sovereign AI has moved from speeches into contracts β€” and the contract terms are where it succeeds or fails.

sovereign aigovernment ai procurementmistral
Jaione Amigotβ€’7 min read
August 24, 2026
Premium

DRONA 2.0: A Military College Replaced Its Custom GPT

India's Defence Services Staff College launched DRONA 2.0 on 18 August 2026, moving from a customised GPT to Sarvam-105B on a GPU server inside its own secure network. The 14-month migration is the clearest public template yet for how an institution goes sovereign on AI.

sovereign aidefense aigovernment ai
Jaione Amigotβ€’10 min read
August 24, 2026
Premium

Healthcare AI Fails at the Information Layer, Not the Model

HIPAA's minimum necessary standard is a retrieval requirement, not a policy one. Most clinical AI enforces it at display time, which is too late β€” and it is why healthcare AI stalls at the information layer.

healthcare aihipaaminimum necessary
Mikel Amigotβ€’6 min read
August 20, 2026
Premium

Decade-Long Compute Bets Face Two Opposite Curves

Frontier training costs are rising while the cost of a fixed capability has fallen roughly 1,000x in three years. Any decade-long AI infrastructure bet has to survive both curves, and they point in opposite directions.

ai computecapex forecastinference cost
Blanca Amigotβ€’6 min read
August 20, 2026
Premium

The Multilingual Gap Is the Healthcare AI Access Barrier

IISc's SPIRE Lab released SraVaani under MIT β€” speech recognition for 65 Indian languages, 40+ of which no commercial system officially supports. Language coverage is an infrastructure choice, not a feature request.

multilingual aihealthcare aispeech recognition
Jaione Amigotβ€’5 min read
August 19, 2026
Premium

Universities Pay Per Seat for a Runtime That's Now Free

The agent runtime went free this month from both DeepSeek and Microsoft. Universities still paying per student for AI assistants should ask what the per-seat fee is now buying.

higher education aiper-seat pricingagent runtime
ibl.ai Engineeringβ€’5 min read
August 19, 2026
Premium

The Agent Runtime Just Commoditized. Now What?

DeepSeek Harness has passed 191,000 GitHub stars under MIT, Microsoft's Agent Harness reached GA, TrueForge is MIT, and Block open-sourced its Berd agent workspace under Apache 2.0. The agent loop is free β€” so value moves to what you build on it, where you run it, and who governs what plugs into it.

agent runtimedeepseek harnessmicrosoft agent framework
Mikel Amigotβ€’9 min read
August 19, 2026
Previous
123456…10…15…20…25…30…35…4041
Next