Techstrong.ai, Friday, October 16th, 2026
The Anatomy of the Agent Context Window
A six-layer model of the agent context window, with techniques to cut token waste and block prompt injection.
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318 articles · page 1 of 7
Techstrong.ai, Friday, October 16th, 2026
A six-layer model of the agent context window, with techniques to cut token waste and block prompt injection.
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Techstrong.ai, Thursday, October 15th, 2026
Phonely's CEO explains why live voice agents favor fast, specialized models and should be measured by value, not cost cuts.
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Techstrong.ai, Thursday, October 15th, 2026
68% call their AI adoption mature, yet only 28% can quantify ROI, and few have unstructured data ready for AI.
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Techstrong.ai, Thursday, October 15th, 2026
Reco's CEO outlines how to discover AI agents, assess their exposure and act, with reduced permissions and human oversight.
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Techstrong.ai, Wednesday, October 14th, 2026
A professor's $10M defamation win after years of TikTok lies shows why platform accountability under Section 230 needs reform.
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Techstrong.ai, Wednesday, October 14th, 2026
Open-weight models like Alibaba's Qwen give Europe operational control, but not the data, methods and talent sovereignty needs.
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Techstrong.ai, Wednesday, October 14th, 2026
General-purpose AI can look right while missing the domain detail that matters commercially; expert-labeled data closes the gap.
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Techstrong.ai, Tuesday, October 13th, 2026
Organizations can outsource analysis to AI but not understanding; without traceable evidence, teams risk 'cognitive surrender'.
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Techstrong.ai, Monday, October 12th, 2026
Coding agents follow rules that add steps but ignore rules to stop, so enforcement must live in the harness, not in policy text.
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Techstrong.ai, Monday, October 12th, 2026
One-off AI integrations become a maintenance and governance burden; standard access layers like MCP simplify the architecture.
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Techstrong.ai, Monday, October 12th, 2026
Sovereign AI has moved beyond data residency paperwork to national autonomy over infrastructure, models and languages.
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Techstrong.ai, Monday, October 12th, 2026
Golden images and IaC assume a defined state, but AI agents work because they do things nobody thought to define.
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Techstrong.ai, Monday, October 12th, 2026
Alan Shimel reads Hollywood's darker take on Silicon Valley as a warning that AI firms must not repeat social media's mistakes.
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Techstrong.ai, Monday, October 12th, 2026
Measure agentic AI by cost per accepted task, including retries, tool charges and human review, rather than per token.
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Techstrong.ai, Friday, October 9th, 2026
Alan Shimel on decision models like Jev: cheaper AI judgments, but rapid commoditization of who captures value.
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Techstrong.ai, Thursday, October 8th, 2026
UN human rights chief Volker Turk warns of a 'ruthless race' in AI and calls for mandatory human rights safeguards and due diligence.
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Techstrong.ai, Thursday, October 8th, 2026
Responding to Nick Bostrom, the author argues the real AI-utopia problem is fair distribution of wealth, not a lack of purpose.
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Techstrong.ai, Wednesday, October 7th, 2026
Apollo GraphQL's GraphOS Agent Services governs which data AI agents can access, down to the field level, via its MCP server.
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Techstrong.ai, Tuesday, October 6th, 2026
PwC's 49,000-worker survey finds AI use rising fast while access to training falls behind.
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Techstrong.ai, Monday, October 5th, 2026
Alan Shimel introduces Techstrong.ai's special report on the people, money and institutions defining AI safety, and who can challenge them.
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Techstrong.ai, Monday, October 5th, 2026
Open source Jevstiller answers routine Jev classification calls locally in 15ms, skipping API calls with a statistical match guarantee.
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Techstrong.ai, Monday, October 5th, 2026
AWS's Dogwood Local Engine embeds policy-as-code in local agent harnesses to allow or deny tool calls based on past actions.
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Techstrong.ai, Friday, October 2nd, 2026
A case study shows parallelizing guardrail checks and short-circuiting cheap ones cut agent validation latency 7.6x.
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Techstrong.ai, Thursday, October 1st, 2026
Classie Supervise discovers sanctioned and shadow AI agents and enforces OPA policies inline in real time.
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Techstrong.ai, Wednesday, September 30th, 2026
Hitachi's Sudhanshu Gaur says industrial AI needs a current context layer of documents, live data and worker knowledge.
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Techstrong.ai, Wednesday, September 30th, 2026
ABBYY's Jon Knisley explains why cheaper tokens don't shrink AI bills as agents multiply model calls.
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Techstrong.ai, Wednesday, September 30th, 2026
In LLM products every wasted token costs money, turning long-neglected performance engineering into a must-have.
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Techstrong.ai, Tuesday, September 29th, 2026
A Techstrong report finds AI infrastructure now props up U.S. investment, but enterprise AI returns remain unproven.
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Techstrong.ai, Monday, September 28th, 2026
BlueRock Security's Harold Byun argues agent security must constrain what agents execute, not just watch prompts.
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Techstrong.ai, Monday, September 28th, 2026
Writing should be judged on its merits, not on whether AI helped, argues a Techstrong.ai author citing the Goncourt controversy.
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Techstrong.ai, Thursday, September 24th, 2026
Monitoring AI agents with other AI agents creates recursive blind spots that leave enterprises exposed to attacks.
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Techstrong.ai, Thursday, September 24th, 2026
As MCP adoption explodes, enterprises need centralized governance to fix sprawl, cost, and security gaps.
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Techstrong.ai, Wednesday, September 23rd, 2026
Enterprise AI reasoning improves when context is filtered and structured in stages rather than dumped into one prompt.
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Techstrong.ai, Wednesday, September 23rd, 2026
Sponsored piece on why siloed, unreliable data undermines enterprise AI scaling and how to fix it.
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Techstrong.ai, Tuesday, September 22nd, 2026
Open-weight AI model token usage among enterprises is set to grow from 34% to 41% within a year.
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Techstrong.ai, Tuesday, September 22nd, 2026
Organizations should give autonomous AI agents explicit "authority budgets" limiting what they can do without approval.
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Techstrong.ai, Tuesday, September 22nd, 2026
Enterprises need orchestration and governance frameworks to run AI agents as production systems, not experiments.
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Techstrong.ai, Monday, September 21st, 2026
Gartner projects global AI spending will hit $2.7 trillion in 2026, up 49.5% year-over-year, led by infrastructure.
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Techstrong.ai, Monday, September 21st, 2026
Lasso Security research finds AI text watermarks like SynthID-Text subtly alter agent decisions and can weaken safety.
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Techstrong.ai, Friday, September 18th, 2026
Organizations must prioritize employee trust and purpose-built AI tools to achieve genuine ROI.
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Techstrong.ai, Monday, September 14th, 2026
Nearly half of enterprises report exceeding AI spending budgets, forcing cuts elsewhere.
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Techstrong.ai, Monday, September 14th, 2026
AI safety advocates clash with the Trump administration over development pace and regulation.
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Techstrong.ai, Monday, September 14th, 2026
Article examines six proposed AI extinction scenarios with skepticism about their plausibility.
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Techstrong.ai, Monday, September 14th, 2026
AI builders must demonstrate concrete engineering controls, not just warn of extinction risks.
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Techstrong.ai, Friday, September 11th, 2026
A Techstrong editor's first-day impressions of OpenAI's Astra model as a research collaborator, plus criticism of its confusing rollout.
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Techstrong.ai, Friday, September 11th, 2026
Scaling AI depends on a physical data center supply chain of power, cooling, equipment and construction, where bottlenecks keep shifting.
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Techstrong.ai, Friday, September 11th, 2026
AI agents that treat past one-time exceptions in operational records as precedent can make organizations consistently wrong at machine speed.
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Techstrong.ai, Friday, September 11th, 2026
Mythos showed AI's power to find vulnerabilities, while the Hugging Face incident shows why enterprises need authority architecture for agents.
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Techstrong.ai, Thursday, September 10th, 2026
Databricks' Adaptive Instructed-Retriever varies search steps by query difficulty to help control AI agent latency and compute costs.
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Techstrong.ai, Wednesday, September 9th, 2026
Red Hat AI 3.5 adds governance, safety and observability features, including generally available EvalHub and GPU usage dashboards.
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