--- title: "Slides: Beyond the Harness: A Journey Towards Adaptative Engineering - Rajiv Chandegra, Annicha Labs" category: "slides" video_id: "qdZzND79mcg" sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"] --- # Slides: Beyond the Harness: A Journey Towards Adaptative Engineering - Rajiv Chandegra, Annicha Labs ## Source Video [Beyond the Harness: A Journey Towards Adaptative Engineering - Rajiv Chandegra, Annicha Labs](https://www.youtube.com/watch?v=qdZzND79mcg) ## Relationship To World's Fair 2026 These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material. ## Related Scheduled Sessions - No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck. ## Extracted Slides ![[assets/slides/qdZzND79mcg/slide-001.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-001.html) - AI slide classifier: `title_card` confidence `0.99` - Text source: agent_vision. Slide text: > Beyond the Harness > The journey towards Adaptative Engineering ![[assets/slides/qdZzND79mcg/slide-002.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-002.html) - AI slide classifier: `content_slide` confidence `0.98` - Text source: advanced OCR `rapidocr-live/border-trim/contrast`. - OCR decision: ready — Dense multi-section slide with small text and diagrams; OCR will read it more reliably than direct transcription. Slide text: > Current AI Engineering: Use a fixed harnesses to steer agents > Fixed roles, topology. sequencing,tool access etc > Reliable,Replicable,Auditable > Great for well-defined engineering problems (most) > Engineer's role: Build/Use Harness + Steer Agents > But, future will see at least two explosions > Models sopowerful that Harnesses constantly outdated > r o > Enter Adaptative Engineering: Harness emerges from agents interacting > You allow the necessary harness to emerge and adapt mid-engineering Engineer's role: > Design constraints,including rules of interaction amongst agents > Apply selection pressures > uajivchandegra.com jiv Chandegra LIBS INICHHA ![[assets/slides/qdZzND79mcg/slide-003.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-003.html) - AI slide classifier: `content_slide` confidence `0.98` - Text source: advanced OCR `rapidocr-live/border-trim/contrast`. - OCR decision: ready — Dense text slide with small body copy and a multi-item list; OCR is the better extraction path. Slide text: > Harnesses > Harness properties: A harness is the scaffold around a model that governs > how it operates. It turns model's behaviour into > Orchestration useful work. > -Roles Permissions and Rules The model is the engine; the harness is everything built around the engine. > -Sequencing Tool Access Memory and Persistence e.g.Claude Code,Cursor, Codex,Cline,Goose, Hermes,OpenClaw,LangChain,Pi > -Routing > Communication Protocols > -observability/Testing > design and engineering philosophy It guides and is guided by your own > ajivchandegra.com jiv Chandegra LIBS ANICHHA ![[assets/slides/qdZzND79mcg/slide-004.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-004.html) - AI slide classifier: `content_slide` confidence `0.98` - Text source: advanced OCR `rapidocr-live/border-trim/opencv-adaptive`. - OCR decision: ready — Dense explanatory slide with multiple small text sections; OCR is the right extraction method. Slide text: > Uses + Failure Modes of Fixed (factory) Harnessing > Useful For Fixed (complicated) problems > Whero specd, teproducbilityo auditabllity. Certifabilityis needed Closed, deterministic Systems, Where problems are well defined and fixed. > Ee, non-realtime product releases where there fsa clear temporal Seperation between problen o Solution > Failure Modes o bad for moving (complex) problems > Where it comes in contact with the real worid o messy and changing > Hard Ceiling on Novelty o itsreliabilityis bought bysupressing variance > Brittlness o Every unanticipated condition requires a human to update the harness. > Accelerating Model Capabilities will be limited by fixed Harnessing > a2rajivchandegra.com jiu Chandegra LIBS ANICHHA ![[assets/slides/qdZzND79mcg/slide-005.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-005.html) - AI slide classifier: `content_slide` confidence `0.99` - Text source: agent_vision. Slide text: > How problems show up > > "Managers are not confronted with problems that are independent of each other, but with dynamic situations that consists of complex systems of changing problems that interact with each other. I call such situations messes. > > Managers do not solve problems, they manage messes." > > -Russell Ackoff (1979, s. 93) ![[assets/slides/qdZzND79mcg/slide-006.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-006.html) - AI slide classifier: `content_slide` confidence `0.98` - Text source: advanced OCR `rapidocr-live/bright-screen/contrast`. - OCR decision: ready — Diagram slide with small explanatory text and labels; OCR is the appropriate extraction path. Slide text: > Complicated Complex > in > Categorising > problem spaces > oxosvosoqoxd.uolxom.oyidrpe > same input,same output.You analyse-plan~execute,and a single principal can cer Complex: adaptive agents that respond to one another -a cat, a flock, a market. Beha emergent,loops back on itself （the feedback arrows).and a new order fors （the dash cluster) that you can't read off any part.You probe ~sense →respond.The factory Complicated: passive parts in fixed 1inkage -a clock.Knowable,decomposable,predic correct for the left-hand world;adaptive engineoring is only for the right-hand one. > tajivchandegra.com jiv Chandegra ![[assets/slides/qdZzND79mcg/slide-007.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-007.html) - AI slide classifier: `content_slide` confidence `0.99` - Text source: agent_vision. Slide text: > Principles of a Complex Adaptive System ![[assets/slides/qdZzND79mcg/slide-008.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-008.html) - AI slide classifier: `content_slide` confidence `0.99` - Text source: advanced OCR `rapidocr-live/border-trim/opencv-adaptive`. - OCR decision: ready — Dense quote and paragraph slide with small text; OCR is likely more reliable than direct transcription. Slide text: > Adaptative Engineering > constraints to the ertent that the harness emerges on its own. envtronment, in ways that could not be specified in advance.? stabilises and adapts as needed, in 1 αAdaptive engineering is the discipline of designing response to the changing > The Charness becomes the output rather than an input. > You allow the agents to find a harness that is suitable for their environment or problem space. This may need to adapto mid-engeering. > The harness becomes @ self-organising. constantly evolving. multi-agent system > trajivchandegra.com jiv Chandegra LIBS ANICHHA ![[assets/slides/qdZzND79mcg/slide-009.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-009.html) - AI slide classifier: `content_slide` confidence `0.98` - Text source: agent_vision. Slide text: > Phase 4: Order without Centralised Control ![[assets/slides/qdZzND79mcg/slide-010.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-010.html) - AI slide classifier: `content_slide` confidence `0.98` - Text source: agent_vision. Slide text: > Phase 5: New Order ![[assets/slides/qdZzND79mcg/slide-011.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-011.html) - AI slide classifier: `content_slide` confidence `0.99` - Text source: advanced OCR `rapidocr-live/border-trim/contrast`. - OCR decision: ready — Multi-column text slide with small body copy; OCR is the efficient extraction path. Slide text: > the engineer; it Adaptive: engineering of engineering relocates does not the emphasis abolish > Exploit the model's learn and change. have power to interact, capabilities so agents You engineer the rule of the game constraints - the deciding what can harness to emerge and You allow the new based on the changing change continually > does. happen not what environment. > najivchandegra.com jiv Chandegra LIBS ANICHHA ![[assets/slides/qdZzND79mcg/slide-012.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-012.html) - AI slide classifier: `content_slide` confidence `0.99` - Text source: advanced OCR `rapidocr-live/border-trim/opencv-adaptive`. - OCR decision: ready — Dense comparison/architecture slide with small labels and many text elements; OCR is appropriate. Slide text: > Purely Fixed Harness Claude Code Langchain Hermes. Cursor Goose Codex Cline Vertical vs horlzontal Entelligence Fully Adaptive Harness > P:v.:r+. > adaptative pre-run, vs adaptive 'during, xuntino' > [tur] > (ingosid ceatraisos -Clond) eme:gmt distilbuted > prescriptive, immovable archietcture the loop learning Single agent In emergent, multi-agent self organisation > jrajivchandegra.con jivChandegra LIBS INICH ![[assets/slides/qdZzND79mcg/slide-013.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-013.html) - AI slide classifier: `content_slide` confidence `0.97` - Text source: advanced OCR `rapidocr-live/border-trim/opencv-adaptive`. - OCR decision: ready — Dense multi-column text with small body copy; OCR will be more reliable than manual transcription in this pass. Slide text: > 2 > Engineer Open or close? QuesTION 1 Wall or goal? QUestION 2 How fast? t norisano > Constraints new moves enabling door), This s just Dhat the rule does. A rule either opens market, @ scoreboard) limit) or closes options governing (a speed (a shared language,a cano governing "you eay not? enabling you now alocked wants to win, so fit fenced playground: do Some of both. apart you either anything inside) no fence), Usually To stop itflying build a wall around give it a shared goal holds together with to orbit coherence (a tean that all) ito containerO hold by a boundary ocoherence pul1 hold by shared a container(a xor once: open one small, thing firsto watchy then widen. That is the dial (the Iate of coupling). tenpo. Don't switch This one isn'ta rule at alloft's the fullyreversible everything on at time reversible step ata scrimnage before the chaapionship - one > tvchandegra-com Chandegra LIBS ANICHHA ![[assets/slides/qdZzND79mcg/slide-014.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-014.html) - AI slide classifier: `content_slide` confidence `0.97` - Text source: advanced OCR `rapidocr-live/bright-screen/opencv-adaptive`. - OCR decision: ready — Dense comparison table with small text; OCR is appropriate for accurate extraction. Slide text: > PrOpLAiT HARHESS CHGINEIRING.THE FACTORY ADAPTIVE CNGINEERIRC. IHE FOREST > fron Hhere ordel coaes Iposed up front, by dosigner interaction Emerges afterwaids,fron > Harness Properties Unlt o2 cosign ittell Control The tarm+!! An input = you author It The agent and Its wixing. Centralised Osinglo principal Tho rolationship coupling. becone the harness Partly an output energent noras exchange, constraint pxincipal Distributed - no central > VS Boundary Closed - porutes its past Opon co.adapts with its world > Adaptative Engineer the outcome cultivate tho macro Engineer tho unit Oconstraints: > Properties Causality "hettor" [+ans) Linear, Enspectable paths Optinise tomard. fixed etric Hon-linear, energent, Irreducible Co-adapt as the landscape royes (Red Queen) > Adaptatlon Done to ito offline, between releases 'continuously Done by It = in the field, > Men it faills The failure bas an owner The failure has only a shape > Best for Closed, deterainistic. cortifiable tasks Open, shlfting, novelty-seoking frontios > rajivchandegra.con jiv Chandegra LIBS ANICHHA ![[assets/slides/qdZzND79mcg/slide-015.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-015.html) - AI slide classifier: `content_slide` confidence `0.96` - Text source: advanced OCR `rapidocr-live/border-trim/opencv-adaptive`. - OCR decision: ready — Bullet-heavy slide with several small lines; OCR should capture the detailed list better than manual triage. Slide text: > Uses + Failure Modes > Useful For Messy, Exploratory Work > Open ended discoveryo environments that shift fast. > Where novelty and continuous adaptation is needed for changing conditions > Failure Modes > Without genuine selection pressure, you get drift. Emergence leans towards stability, not necessarily good. > Monocultuxe isk o agents trained on similar data > Legibilitycollapses o as adaptabilityfncreases, abilityto explain decreases. > Irreversiblity olock-ins, Stable bad equilibria Accountability gap o harm fron a pattern with no culpabie author > No reproducibility or predictability ahead of run time. > cajivchandegra.com jiv Chandegra LIBS ANICHHA ![[assets/slides/qdZzND79mcg/slide-016.jpg]] - Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/qdZzND79mcg/slide-016.html) - AI slide classifier: `content_slide` confidence `0.99` - Text source: agent_vision. Slide text: > Takeaway > As models improve exponentially, and as AI engineering moves more into real-world, the discipline will be forced to rethink itself around continual production. > The limiting factor is not the strength of the model - it will be the adaptability of the harness. > Adaptability means multi-agent (horizontal), decentralised, mid-runtime intelligence. Classification audit: `raw/sources/slide-ai-classification/slides/qdZzND79mcg/audit.json` ## Slide-Derived Subjects To Review Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.